CN104717163A - Noise estimation method and user equipment - Google Patents
Noise estimation method and user equipment Download PDFInfo
- Publication number
- CN104717163A CN104717163A CN201510037118.6A CN201510037118A CN104717163A CN 104717163 A CN104717163 A CN 104717163A CN 201510037118 A CN201510037118 A CN 201510037118A CN 104717163 A CN104717163 A CN 104717163A
- Authority
- CN
- China
- Prior art keywords
- tired
- calculate
- noise
- serving cell
- pilot signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Landscapes
- Mobile Radio Communication Systems (AREA)
Abstract
The embodiment of the invention discloses a noise estimation method and user equipment. The noise estimation method and the user equipment are used for accurately estimating interference plus noise to improve system performance and data transmission speed of the user equipment. The noise estimation method comprises the steps that wireless signals are received and the wireless signals comprise a pilot signal y[1]; channel estimation is conducted on a serving cell and an interference cell respectively according to y[1] to obtain a channel matrix H[d] of the serving cell and a channel matrix H[I] of the interference cell; a transmission pilot signal x[d] of the serving cell and a transmission pilot signal x[I] of the interference cell are obtained; when x[d] coincides with x[I] at the position of a time-frequency domain, an interference-plus-noise vector u is obtained through calculation according to the formula that u=y[1]-H[d]*x[d]-H[I]*x[I]; an interference-plus-noise covariance matrix uu<H> is obtained through calculation according to u; a noise estimation result R[u][u] is obtained through conducting cumulative summing and averaging processing on uu<H>.
Description
Technical field
The present invention relates to wireless communication field, particularly a kind of noise estimation method and subscriber equipment.
Background technology
Along with the fast development of wireless communication system, more and more intensive arrangement of base stations causes wireless network environment more and more severe.In order to obtain the useful signal that Serving cell sends, resident subscriber equipment (the User Equipment to Serving cell, UE) need to receive wireless signal by antenna, and this wireless signal is detected, thus obtain the useful signal sent by Serving cell.
And before testing, first UE needs the interference plus noise estimating this wireless signal, this interference plus noise, except for except follow-up detection, can also be used for the work such as channel measurement, parameter blind estimation.
The wireless signal of the interfered cell adjacent with Serving cell can affect the estimated result of interference plus noise to a certain extent, and in prior art, the information of interfered cell is not utilized when estimating interference plus noise, information by interfered cell is all included within interference plus noise, therefore, cause the problem such as inaccurate of estimated result, have impact on the systematic function of UE to a great extent, thus affect the transmission rate of data.
Summary of the invention
The invention provides a kind of noise estimation method and subscriber equipment, for estimating interference plus noise accurately, with the transmission rate of the systematic function and data that improve subscriber equipment.
First aspect present invention provides a kind of noise estimation method, comprising:
Receive wireless signal, described wireless signal comprises: pilot signal y
1;
According to described y
1respectively channel estimating is carried out to Serving cell and interfered cell, obtain the channel matrix H of described Serving cell
dwith the channel matrix H of described interfered cell
i;
Obtain the transmitting pilot signal x of described Serving cell
dwith the transmitting pilot signal x of described interfered cell
i;
As described x
dwith described x
iwhen overlapping in the position of time-frequency domain, according to formula u=y
1-H
d*x
d-H
i*x
icalculate interference plus noise vector u;
Interference-plus-noise covariance matrix uu is calculated according to described u
h;
To described uu
hcarry out tired and average treatment, obtain noise estimated result R
uu.
In conjunction with a first aspect of the present invention, in the first implementation of first aspect present invention, described wireless signal also comprises: data-signal y
2, described method also comprises:
As described x
dwith described x
iwhen the position of time-frequency domain does not overlap, according to described y
2calculate described y
2covariance matrix y
2y
2 h;
Obtain the transmitted data signal of described Serving cell and the power ratio P of transmitting pilot signal
dand the transmitted data signal of described interfered cell and the power ratio P of transmitting pilot signal
i;
According to H
dcalculate the channel covariance matrices H of described Serving cell
dh
d h, and according to H
icalculate the channel covariance matrices H of described interfered cell
ih
i h;
To described y
2y
2 hcarry out tired and average treatment, obtain the first tired and result R
yy, to described H
dh
d hcarry out tired and average treatment, obtain the second tired and result R
hh, d, and to described H
ih
i hcarry out tired and average treatment, obtain the 3rd tired and result R
hh, I;
According to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
icalculate described noise estimated result R
uu.
In conjunction with the first implementation of first aspect present invention, in the second implementation of first aspect present invention, described according to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
icalculate described noise estimated result R
uucomprise:
According to the first power factor P preset
extra1with the second power factor P
extra2to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
irevise;
According to revised formula R
uu=R
yy-R
hh, d× P
d× P
extra1-R
hh, I× P
i× P
extra2calculate described R
uu, to make described R
uufor positive definite matrix.
In conjunction with the first implementation of first aspect present invention, in the third implementation of first aspect present invention, according to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
icalculate described noise estimated result R
uuafterwards, also comprise:
As described R
uuduring for nonpositive definite matrix, at described R
uudiagonal entry on, add default correction value respectively, with to described R
uur is obtained after revising
uu, make revised described R
uufor positive definite matrix.
In conjunction with the third implementation of a first aspect of the present invention or the first implementation of first aspect or the second implementation of first aspect or first aspect, in the 4th kind of implementation of first aspect present invention, described method also comprises:
Utilize R
uudescribed wireless signal is detected.
Second aspect present invention provides a kind of subscriber equipment, comprising:
Receiving element, for receiving wireless signal, described wireless signal comprises: pilot signal y
1;
Channel estimating unit, for the described pilot signal y received according to described receiving element
1respectively channel estimating is carried out to Serving cell and interfered cell, obtain the channel estimate matrix H of described Serving cell
dwith the channel estimate matrix H of described interfered cell
i;
First acquiring unit, for obtaining the transmitting pilot signal x of described Serving cell
dwith the transmitting pilot signal x of described interfered cell
i;
First computing unit, for working as described x
dwith described x
iwhen overlapping in the position of time-frequency domain, according to formula u=y
1-H
d*x
d-H
i*x
icalculate interference plus noise vector u;
Second computing unit, the described u for obtaining according to described first computing unit calculates interference-plus-noise covariance matrix uu
h;
First processing unit, for the described uu calculated described second computing unit
hcarry out tired and average treatment, obtain noise estimated result R
uu.
In conjunction with a second aspect of the present invention, in the first implementation of second aspect present invention, described wireless signal also comprises: data-signal y
2, described subscriber equipment also comprises:
3rd computing unit, for working as described x
dwith described x
iwhen the position of time-frequency domain does not overlap, according to the described data-signal y that described receiving element receives
2calculate described data-signal y
2covariance matrix y
2y
2 h;
Second acquisition unit, for the power ratio P of the transmitted data signal and transmitting pilot signal that obtain described Serving cell
dand the transmitted data signal of described interfered cell and transmitting pilot signal power ratio P
i;
4th computing unit, for according to described H
dcalculate the channel covariance matrices H of described Serving cell
dh
d h, and according to described H
icalculate the channel estimating covariance matrix H of described interfered cell
ih
i h;
Second processing unit, for described y
2y
2 hcarry out tired and average treatment, obtain the first tired and result R
yy, to described H
dh
d hcarry out tired and average treatment, obtain the second tired and result R
hh, d, and to described H
ih
i hcarry out tired and average treatment, obtain the 3rd tired and result R
hh, I;
5th computing unit, for according to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
icalculate described noise estimated result R
uu.
In conjunction with the first implementation of second aspect present invention, in the second implementation of second aspect present invention, described 5th computing unit comprises:
Correcting module, for the first power factor P that basis is preset
extra1with the second power factor P
extra2to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
irevise;
Computing module, for according to revised formula R
uu=R
yy-R
hh, d× P
d× P
extra1-R
hh, I× P
i× P
extra2calculate described R
uu, to make described R
uufor positive definite matrix.
In conjunction with the first implementation of second aspect present invention, in the third implementation of second aspect present invention, described subscriber equipment also comprises:
Amending unit, for working as described R
uuduring for nonpositive definite matrix, at described R
uudiagonal entry on, add default correction value respectively, with to described R
uurevise, make revised described R
uufor positive definite matrix.
In conjunction with the third implementation of a second aspect of the present invention or the first implementation of second aspect or the second implementation of second aspect or second aspect, in the 4th kind of implementation of second aspect present invention, described subscriber equipment also comprises:
Detecting unit, for utilizing R
uudescribed wireless signal is detected.
As can be seen from the above technical solutions, the present invention has the following advantages: as described x
dwith described x
iwhen overlapping in the position of time-frequency domain, according to formula u=y
1-H
d*x
d-H
i*x
icalculate interference plus noise vector u; And calculate interference-plus-noise covariance matrix uu according to described u
h, and to described uu
hcarry out tired and average treatment, obtain noise estimated result R
uu.Therefore, said method can estimate interference plus noise accurately by utilizing the wireless signal information of Serving cell and interfered cell, thus improves the systematic function of subscriber equipment and the transmission rate of data.
Accompanying drawing explanation
Fig. 1 is noise estimation method provided by the present invention embodiment schematic flow sheet;
Fig. 2 is another embodiment schematic flow sheet of noise estimation method provided by the present invention;
Fig. 3 is another embodiment schematic flow sheet of noise estimation method provided by the present invention;
Fig. 4 is another embodiment schematic flow sheet of noise estimation method provided by the present invention;
Fig. 5 is another embodiment schematic flow sheet of noise estimation method provided by the present invention;
Fig. 6 is subscriber equipment provided by the present invention example structure schematic diagram;
Fig. 7 is another example structure schematic diagram of subscriber equipment provided by the present invention;
Fig. 8 is another example structure schematic diagram of subscriber equipment provided by the present invention;
Fig. 9 is another example structure schematic diagram of subscriber equipment provided by the present invention;
Figure 10 is another example structure schematic diagram of subscriber equipment provided by the present invention;
Figure 11 is another example structure schematic diagram of subscriber equipment provided by the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, the embodiments described below are only the present invention's part embodiments, and the embodiment of not all.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Refer to Fig. 1, in the embodiment of the present invention, noise estimation method embodiment comprises:
101, receive wireless signal, this wireless signal comprises: pilot signal y
1;
Particularly, UE can receive this wireless signal by the transceiver being coupled to antenna; Should know, the forward direction CDMA channel time limit can be obtained for the ease of UE, and provide the phase reference etc. needed for demodulation to UE, in prior art, base station in Serving cell or interfered cell all needs the Direct Sequence Spread Spectrum Signal of sequential filming non-modulated, i.e. pilot signal, the concrete effect of pilot signal, with reference to prior art, no longer can describe in detail here.
102, according to this y
1respectively channel estimating is carried out to Serving cell and interfered cell, obtain the channel matrix H of this Serving cell
dwith the channel matrix H of this interfered cell
i;
It should be noted that, UE is according to pilot signal y
1when carrying out channel estimating to Serving cell and interfered cell respectively, this does channel estimating to this Serving cell and this interfered cell and can carry out simultaneously, also timesharing can carry out, does not retrain herein; Wherein, this H obtained
dwith this H
ibe respectively the channel matrix of Serving cell pilot frequency locations and the channel matrix of interfered cell pilot frequency locations, this interfered cell can be one or more, and concrete quantity is not restricted herein; Such as, when interfered cell is two, the channel matrix H of the interfered cell obtained
i=H
i0+ H
i1.
103, the transmitting pilot signal x of this Serving cell is obtained
dwith the transmitting pilot signal x of this interfered cell
i;
It should be noted that, UE by modes such as high-level signalings, can obtain the transmitting pilot signal x of this Serving cell from network side
dwith the transmitting pilot signal x of this interfered cell
i; Specifically see prior art, can repeat no more herein; Same, when the quantity of interfered cell is two, the transmitting pilot signal of this interfered cell can be expressed as x
i0, x
i1.
104, as this x
dwith this x
iwhen overlapping in the position of time-frequency domain, according to formula u=y
1-H
d*x
d-H
i*x
icalculate interference plus noise vector u;
Wherein, the transmitting pilot signal x of Serving cell
dwith the transmitting pilot signal x of interfered cell
ioverlap in the position of time-frequency domain and refer to x
dand x
ipilot frequency design on the same position of time-frequency domain is the same, i.e. pilot tone collision, specifically can with reference to the description of prior art, as this x
dwith this x
iwhen overlapping in the position of time-frequency domain, the computational methods of this interference plus noise vector u are: use pilot signal y
1cut the signal H in the pilot frequency locations of Serving cell
d*x
d, then cut the signal H in the pilot frequency locations of interfered cell
i*x
i; Same, when the quantity of this interfered cell is two, this formula can be expressed as u=y
1-H
d*x
d-H
i0*x
i0-H
i1*x
i1, when the quantity of interfered cell is multiple, then by that analogy, no longer describe in detail here.
105, interference-plus-noise covariance matrix uu is calculated according to this u
h;
According to obtaining interference plus noise vector u, utilizing the computational methods of existing covariance matrix, interference-plus-noise covariance matrix uu can be obtained
h.
106, to this uu
hcarry out tired and average treatment, obtain noise estimated result R
uu.
To the interference-plus-noise covariance matrix uu obtained
hcarry out tired and average treatment, obtain noise estimated result R
uu; It should be noted that, UE within the scope of certain time-frequency to the interference-plus-noise covariance matrix uu of pilot frequency locations
hdo tired and average treatment, the result after tired and average is
wherein N is R
uuavailable number of samples in statistical regions; What this processing procedure was equivalent to data asks desired operation, thus more can embody the statistical property of interference plus noise.
In the embodiment of the present invention, as this x
dwith this x
iwhen overlapping in the position of time-frequency domain, according to formula u=y
1-H
d*x
d-H
i*x
icalculate interference plus noise vector u; And calculate interference-plus-noise covariance matrix uu according to this u
h, and to this uu
hcarry out tired and average treatment, obtain noise estimated result R
uu.Therefore, when the method is by the wireless signal information calculating noise estimated result that utilizes Serving cell and adjacent interfered cell, by the ELIMINATION OF ITS INTERFERENCE of adjacent interfered cell outside noise estimated result, can more adequately calculating noise estimated result, thus make this noise estimated result of user's equipment utilization carry out detecting, the work such as channel measurement, parameter blind estimation time, the systematic function of subscriber equipment and the transmission rate of data can be improved.
Based on the transmitting pilot signal x of this Serving cell in embodiment above
dwith the transmitting pilot signal x of this interfered cell
iapplication scenarios when overlapping in the position of time-frequency domain has carried out related description to noise estimation method, is described in detail below, refers to Fig. 2 by another scene of noise estimation method, and in the embodiment of the present invention, another execution mode of noise estimation method comprises:
201, receive wireless signal, this wireless signal comprises: pilot signal y
1with data-signal y
2;
202, according to this y
1respectively channel estimating is carried out to Serving cell and interfered cell, obtain the channel matrix H of this Serving cell
dwith the channel matrix H of this interfered cell
i;
203, the transmitting pilot signal x of this Serving cell is obtained
dwith the transmitting pilot signal x of this interfered cell
i;
204, as this x
dwith this x
iwhen overlapping in the position of time-frequency domain, according to formula u=y
1-H
d*x
d-H
i*x
icalculate interference plus noise vector u;
205, interference-plus-noise covariance matrix uu is calculated according to this u
h;
206, to this uu
hcarry out tired and average treatment, obtain noise estimated result R
uu;
It should be noted that, the step 101,102,103,104,105 and 106 in above-mentioned steps 201,202,203,204,205 and 206 and last execution mode is one to one respectively, is not described in detail herein.
207, as this x
dwith this x
iwhen the position of time-frequency domain does not overlap, according to this y
2calculate this y
2covariance matrix y
2y
2 h;
Wherein, the transmitting pilot signal x of this Serving cell
dwith the transmitting pilot signal x of this interfered cell
ido not overlap in the position of time-frequency domain and refer to x
dand x
ipilot frequency design on the same position of time-frequency domain is different, i.e. pilot tone collision, specifically can with reference to the description of prior art, as this x
dwith this x
iwhen the position of time-frequency domain does not overlap, UE is according to the data-signal y received
2calculate data-signal y
2covariance matrix y
2y
2 h.
208, the transmitted data signal of this Serving cell and the power ratio P of transmitting pilot signal is obtained
dand the transmitted data signal of this interfered cell and the power ratio P of transmitting pilot signal
i;
Obtain the transmitted data signal of this Serving cell and the power ratio P of transmitting pilot signal
dand the transmitted data signal of this interfered cell and the power ratio P of transmitting pilot signal
i; Obtain P herein
dand P
imode see prior art, do not repeat herein.
209, according to this H
dcalculate the channel covariance matrices H of this Serving cell
dh
d h, and according to this H
icalculate the channel covariance matrices H of this interfered cell
ih
i h;
According to the channel matrix H of this Serving cell
dcalculate the channel covariance matrices H of this Serving cell
dh
d h, and according to the channel matrix H of this interfered cell
icalculate the channel covariance matrices H of this interfered cell
ih
i h.
210, to this y
2y
2 hcarry out tired and average treatment, obtain the first tired and result R
yy, to H
dh
d hcarry out tired and average treatment, obtain the second tired and result R
hh, d, and to H
ih
i hcarry out tired and average treatment, obtain the 3rd tired and result R
hh, I;
It should be noted that, UE within the scope of certain time-frequency to this data-signal y
2covariance matrix y
2y
2 h, this Serving cell channel covariance matrices H
dh
d hand the channel covariance matrices H of this interfered cell
ih
i hcarry out tired and average treatment respectively, the result after tired and average is respectively
wherein N is available number of samples in statistical regions, and what this processing procedure was equivalent to data asks desired operation, thus more can embody the statistical property of interference plus noise.
211, according to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
icalculate this noise estimated result R
uu.
This noise estimated result R
uucomputational methods be: with this data-signal y
2covariance matrix y
2y
2 hobtain after carrying out tired and average treatment first tired and result R
yy, cut the second tired and result R
hh, dwith power ratio P
dproduct, then cut the 3rd tired and result R
hh, Iwith power ratio P
iproduct.
In the embodiment of the present invention, as this x
dwith this x
iwhen the position of time-frequency domain does not overlap, according to this y
2calculate this y
2covariance matrix y
2y
2 h; According to this H
dcalculate the channel covariance matrices H of this Serving cell
dh
d h, and according to this H
icalculate the channel covariance matrices H of this interfered cell
ih
i h; And to y
2y
2 hcarry out tired and average treatment, obtain the first tired and result R
yy, to this H
dh
d hcarry out tired and average treatment, obtain the second tired and result R
hh, d, and to this H
ih
i hcarry out tired and average treatment, obtain the 3rd tired and result R
hh, I; Last according to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
icalculate this noise estimated result R
uu.Therefore, as this x
dwith this x
iwhen the position of time-frequency domain does not overlap, when the method is by the wireless signal information calculating noise estimated result that utilizes Serving cell and adjacent interfered cell, by the ELIMINATION OF ITS INTERFERENCE of adjacent interfered cell outside noise estimated result, can calculating noise estimated result accurately, thus make this noise estimated result of user's equipment utilization carry out detecting, the work such as channel measurement, parameter blind estimation time, the systematic function of subscriber equipment and the transmission rate of data can be improved.
Refer to Fig. 3, in another execution mode of the embodiment of the present invention, noise estimation method comprises:
301, receive wireless signal, this wireless signal comprises: pilot signal y
1with data-signal y
2;
302, according to this y
1respectively channel estimating is carried out to Serving cell and interfered cell, obtain the channel matrix H of this Serving cell
dwith the channel matrix H of this interfered cell
i;
303, the transmitting pilot signal x of this Serving cell is obtained
dwith the transmitting pilot signal x of this interfered cell
i;
304, as this x
dwith this x
iwhen overlapping in the position of time-frequency domain, according to formula u=y
1-H
d*x
d-H
i*x
icalculate interference plus noise vector u;
305, interference-plus-noise covariance matrix uu is calculated according to this u
h;
306, to this uu
hcarry out tired and average treatment, obtain noise estimated result R
uu;
307, as this x
dwith this x
iwhen the position of time-frequency domain does not overlap, according to this y
2calculate this y
2covariance matrix y
2y
2 h;
308, the transmitted data signal of this Serving cell and the power ratio P of transmitting pilot signal is obtained
dand the transmitted data signal of this interfered cell and the power ratio P of transmitting pilot signal
i;
309, according to this H
dcalculate the channel covariance matrices H of this Serving cell
dh
d h, and according to H
icalculate the channel covariance matrices H of this interfered cell
ih
i h;
310, to this y
2y
2 hcarry out tired and average treatment, obtain the first tired and result R
yy, to H
dh
d hcarry out tired and average treatment, obtain the second tired and result R
hh, d, and to H
ih
i hcarry out tired and average treatment, obtain the 3rd tired and result R
hh, I;
It should be noted that, above-mentioned steps 301 ~ 310 is one to one with step 201 ~ 210 in last execution mode respectively, is not described in detail herein.
311, according to the first power factor P preset
extra1with the second power factor P
extra2to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
irevise;
In present embodiment, due to job requirement R such as follow-up detection, channel measurement, parameter blind estimation
uufor positive definite matrix, otherwise the problems such as channel measurement mistake can be caused, therefore, in present embodiment, by adopting the first default power factor P
extra1with the second power factor P
extra2to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
irevise, object is just the R preventing from causing because channel estimating is inaccurate calculating
uunot positive definite.
312, according to revised formula R
uu=R
yy-R
hh, d× P
d× P
extra1-R
hh, I× P
i× P
extra2calculate this R
uu, to make this R
uufor positive definite matrix.
It should be noted that, this noise estimated result R
uucomputational methods be: use this y
2y
2 hobtain after carrying out tired and average treatment first tired and result R
yy, cut the second tired and result R
hh, dwith power ratio P
dand the first power factor P
extra1product, then cut the 3rd tired and result R
hh, Iwith power ratio P
iand the second power factor P
extra2product; Normally, the first power factor P
extra1with the second power factor P
extra2for the empirical value being less than 1, thus employing formula R can be made
uu=R
yy-R
hh, d× P
d× P
extra1-R
hh, I× P
i× P
extra2calculate this R
uutime, allow this R
yyeach element on diagonal deducts a less value, to make this R calculated
uueach element on diagonal be on the occasion of, and then make this R
uufor positive definite matrix; Certainly, in order to make final result of calculation more accurate, at this R of guarantee
uuunder the prerequisite of positive definite, the first power factor P
extra1with the second power factor P
extra2also for the empirical value being greater than 1, specifically can be determined by means such as emulation, tests, be not construed as limiting here.
In the embodiment of the present invention, according to the first power factor P preset
extra1with the second power factor P
extra2to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
irevise, and utilize revised formula R
uu=R
yy-R
hh, d× P
d× P
extra1-R
hh, I× P
i× P
extra2calculate this R
uu, to make this R
uufor positive definite matrix.
Refer to Fig. 4, in another execution mode of the embodiment of the present invention, noise estimation method comprises:
401, receive wireless signal, this wireless signal comprises: pilot signal y
1with data-signal y
2;
402, according to this y
1respectively channel estimating is carried out to Serving cell and interfered cell, obtain the channel matrix H of this Serving cell
dwith the channel matrix H of this interfered cell
i;
403, the transmitting pilot signal x of this Serving cell is obtained
dwith the transmitting pilot signal x of this interfered cell
i;
404, as this x
dwith this x
iwhen overlapping in the position of time-frequency domain, according to formula u=y
1-H
d*x
d-H
i*x
icalculate interference plus noise vector u;
405, interference-plus-noise covariance matrix uu is calculated according to this u
h;
406, to this uu
hcarry out tired and average treatment, obtain noise estimated result R
uu;
407, as this x
dwith this x
iwhen the position of time-frequency domain does not overlap, according to this y
2calculate this y
2covariance matrix y
2y
2 h;
408, the transmitted data signal of this Serving cell and the power ratio P of transmitting pilot signal is obtained
dand the transmitted data signal of this interfered cell and the power ratio P of transmitting pilot signal
i;
409, according to this H
dcalculate the channel covariance matrices H of this Serving cell
dh
d h, and according to H
icalculate the channel covariance matrices H of this interfered cell
ih
i h;
410, to this y
2y
2 hcarry out tired and average treatment, obtain the first tired and result R
yy, to this H
dh
d hcarry out tired and average treatment, obtain the second tired and result R
hh, d, and to this H
ih
i hcarry out tired and average treatment, obtain the 3rd tired and result R
hh, I;
411, according to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
icalculate this noise estimated result R
uu;
It should be noted that, above-mentioned steps 401 ~ 411 is one to one with step 201 ~ 211 in aforementioned embodiments respectively, is not described in detail herein.
412, as this R
uuduring for nonpositive definite matrix, at this R
uudiagonal entry on, add default correction value respectively, with to this R
uurevise, make this R revised
uufor positive definite matrix.
It should be noted that, UE judges this noise estimated result R
uuwhether be positive definite matrix, if nonpositive definite matrix, then at this noise estimated result R
uudiagonal entry on, add a fixing correction value, make revised R
uufor positive definite matrix.
In the embodiment of the present invention, as this R
uuduring for nonpositive definite matrix, at this R
uudiagonal entry on, add default correction value respectively, with to this R
uurevise, make this R revised
uufor positive definite matrix, to prevent channel estimating inaccurate.
Refer to Fig. 5, in another execution mode of the embodiment of the present invention, noise estimation method comprises:
501, receive wireless signal, this wireless signal comprises: pilot signal y
1with data-signal y
2;
502, according to this y
1respectively channel estimating is carried out to Serving cell and interfered cell, obtain the channel matrix H of this Serving cell
dwith the channel matrix H of this interfered cell
i;
503, the transmitting pilot signal x of this Serving cell is obtained
dwith the transmitting pilot signal x of this interfered cell
i;
504, as this x
dwith this x
iwhen overlapping in the position of time-frequency domain, according to formula u=y
1-H
d*x
d-H
i*x
icalculate interference plus noise vector u;
505, interference-plus-noise covariance matrix uu is calculated according to this u
h;
506, to this uu
hcarry out tired and average treatment, obtain noise estimated result R
uu;
507, as this x
dwith this x
iwhen the position of time-frequency domain does not overlap, according to this y
2calculate this y
2covariance matrix y
2y
2 h;
508, the transmitted data signal of this Serving cell and the power ratio P of transmitting pilot signal is obtained
dand the transmitted data signal of this interfered cell and the power ratio P of transmitting pilot signal
i;
509, according to this H
dcalculate the channel covariance matrices H of this Serving cell
dh
d h, and according to H
icalculate the channel covariance matrices H of this interfered cell
ih
i h;
510, to this y
2y
2 hcarry out tired and average treatment, obtain the first tired and result R
yy, to this H
dh
d hcarry out tired and average treatment, obtain the second tired and result R
hh, d, and to this H
ih
i hcarry out tired and average treatment, obtain the 3rd tired and result R
hh, I;
511, according to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
icalculate this noise estimated result R
uu;
512, as this R
uuduring for nonpositive definite matrix, at this R
uudiagonal entry on, add default correction value respectively, with to this R
uurevise, make this R revised
uufor positive definite matrix;
It should be noted that, above-mentioned steps 501 ~ 512 is one to one with step 401 ~ 412 in last execution mode respectively, is not described in detail herein.
513, R is utilized
uuthis wireless signal is detected.
It should be noted that, utilize this noise estimated result R
uufollow-up detection is carried out to this wireless signal, CQI (Channel Quality Indicator, quality of wireless channel) measures, this R
uucan be the R that in above-mentioned execution mode, step 312 obtains
uu, also can be the revised R that in above-mentioned execution mode, step 412 obtains
uu.
In the embodiment of the present invention, utilize this noise estimated result R
uufollow-up detection is carried out to this wireless signal, CQI measures, thus be convenient to statistics.
In conjunction with the noise estimation method described in above-described embodiment, be understandable that, in practice, whether the noise estimation method under above-mentioned two class scenes can be combined, be embodied in this UE and collide (the transmitting pilot signal x of this Serving cell according to the pilot tone of this Serving cell and this interfered cell
dwith the transmitting pilot signal x of this interfered cell
iwhether overlap in the position of time-frequency domain), carry out the noise estimation method under the corresponding scene of choice for use; If the pilot tone of this Serving cell and this interfered cell was collided and be in dynamic change within a period of time, so this UE also can carry out corresponding switching according to this dynamic change, to improve the accuracy that noise is estimated; The noise estimation method introduced in concrete implementation step and this embodiment is similar, can consult this content in the lump, not be described in detail herein.
For ease of understanding, with an embody rule scene, noise estimation method in the embodiment of the present invention is specifically described below:
UE receives pilot signal y by antenna
1with data-signal y
2, and according to pilot signal y
1respectively channel estimating is carried out to Serving cell and interfered cell, obtain the channel matrix H of this Serving cell
dwith the channel matrix H of this interfered cell
i;
UE obtains the transmitting pilot signal x of this Serving cell
dwith the transmitting pilot signal x of this interfered cell
i; As the transmitting pilot signal x of this Serving cell
dwith the transmitting pilot signal x of this interfered cell
iwhen overlapping in the position of time-frequency domain, according to formula u=y
1-H
d*x
d-H
i*x
icalculate interference plus noise vector u, and calculate interference-plus-noise covariance matrix uu according to obtaining interference plus noise vector u
h;
UE within the scope of certain time-frequency to the interference-plus-noise covariance matrix uu of pilot frequency locations
hdo tired and average treatment, obtain noise estimated result R
uu, the result after tired and average is
As the transmitting pilot signal x of this Serving cell
dwith the transmitting pilot signal x of this interfered cell
iwhen the position of time-frequency domain does not overlap, UE is according to the data-signal y received
2calculate data-signal y
2covariance matrix y
2y
2 h;
UE obtains the transmitted data signal of this Serving cell and the power ratio P of transmitting pilot signal
dand the transmitted data signal of this interfered cell and the power ratio P of transmitting pilot signal
i; And according to the channel matrix H of this Serving cell
dcalculate the channel covariance matrices H of this Serving cell
dh
d h, and according to the channel matrix H of this interfered cell
icalculate the channel covariance matrices H of this interfered cell
ih
i h;
UE within the scope of certain time-frequency to this data-signal y
2covariance matrix y
2y
2 h, this Serving cell channel covariance matrices H
dh
d hand the channel covariance matrices H of this interfered cell
ih
i hcarry out tired and average treatment respectively, the result after tired and average is respectively
According to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
icalculate this noise estimated result R
uu.
As this noise estimated result R
uuduring for nonpositive definite matrix, at this R
uudiagonal entry on, add default correction value respectively, with to this R
uurevise, make this R revised
uufor positive definite matrix; Finally, this noise estimated result R is utilized
uufollow-up detection is carried out to this wireless signal, CQI measures.
For ease of better implementing the noise estimation method of the embodiment of the present invention, be also provided for the subscriber equipment implementing this noise estimation method below.
Refer to Fig. 6, in an execution mode of the embodiment of the present invention, subscriber equipment can comprise:
Receiving element 601, for receiving wireless signal, this wireless signal comprises: pilot signal y
1;
It should be noted that, in a user device, this receiving element 601 can be specially a transceiver, and this receiving element 601 is coupled to the antenna of subscriber equipment, and is received the wireless signal launched by Serving cell and/or interfered cell by this antenna; And the follow-up described unit of present embodiment, in the master chip that then can be integrated in subscriber equipment or baseband chip, wherein, master chip refers to the chip comprising baseband processor, application processor, IP multimedia subsystem, IMS, specifically with reference to prior art, can not elaborate here.
Channel estimating unit 602, for this pilot signal y received according to this receiving element 601
1respectively channel estimating is carried out to Serving cell and interfered cell, obtain the channel estimate matrix H of this Serving cell
dwith the channel estimate matrix H of this interfered cell
i;
First acquiring unit 603, for obtaining the transmitting pilot signal x of this Serving cell
dwith the transmitting pilot signal x of this interfered cell
i;
First computing unit 604, for working as this x
dwith this x
iwhen overlapping in the position of time-frequency domain, according to formula u=y
1-H
d*x
d-H
i*x
icalculate interference plus noise vector u;
Second computing unit 605, this u for obtaining according to this first computing unit 604 calculates interference-plus-noise covariance matrix uu
h;
First processing unit 606, for this uu calculated this second computing unit 605
hcarry out tired and average treatment, obtain noise estimated result R
uu.
It should be noted that, this channel estimating unit 602 is done channel estimating to this Serving cell and this interfered cell and can be realized by a module, or a point multiple module realizes, and does not retrain herein; Wherein, this H obtained
dwith this H
ibe respectively the channel matrix of Serving cell pilot frequency locations and the channel matrix of interfered cell pilot frequency locations, this interfered cell can be one or more, and concrete quantity is not restricted herein; Such as, when this interfered cell is two, the channel matrix H of the interfered cell obtained
i=H
i0+ H
i1; Same, when this interfered cell is two, the transmitting pilot signal of this interfered cell can be expressed as x
i0, x
i1.
Result after this tired and average treatment is
wherein N is R
uuavailable number of samples in statistical regions; What this processing procedure was equivalent to data asks desired operation, thus more can embody the statistical property of interference plus noise.
In the embodiment of the present invention, as this x
dwith this x
iwhen overlapping in the position of time-frequency domain, this first computing unit 604 is according to formula u=y
1-H
d*x
d-H
i*x
icalculate interference plus noise vector u; This second computing unit 605 calculates interference-plus-noise covariance matrix uu according to this u that this first computing unit 604 obtains
h; This uu that this first processing unit 606 calculates this second computing unit 605
hcarry out tired and average treatment, obtain noise estimated result R
uu.Therefore, when this subscriber equipment is by the wireless signal information calculating noise estimated result that utilizes Serving cell and adjacent interfered cell, by the ELIMINATION OF ITS INTERFERENCE of adjacent interfered cell outside noise estimated result, can more adequately calculating noise estimated result, thus make this noise estimated result of user's equipment utilization carry out detecting, the work such as channel measurement, parameter blind estimation time, the systematic function of subscriber equipment and the transmission rate of data can be improved.
Based on the transmitting pilot signal x of this Serving cell in embodiment above
dwith the transmitting pilot signal x of this interfered cell
iapplication scenarios when overlapping in the position of time-frequency domain has carried out related description to this subscriber equipment, be described in detail to another scene of this subscriber equipment below, refer to Fig. 7, optionally, in another execution mode of the embodiment of the present invention, this wireless signal also comprises: data-signal y
2, this subscriber equipment can also comprise:
3rd computing unit 701, for working as this x
dwith this x
iwhen the position of time-frequency domain does not overlap, according to this data-signal y that this receiving element 601 receives
2calculate this data-signal y
2covariance matrix y
2y
2 h;
Second acquisition unit 702, for the power ratio P of the transmitted data signal and transmitting pilot signal that obtain this Serving cell
dand the transmitted data signal of this interfered cell and transmitting pilot signal power ratio P
i;
4th computing unit 703, for this H obtained according to this channel estimating unit 602
dcalculate the channel covariance matrices H of this Serving cell
dh
d h, and according to this H that this channel estimating unit 602 obtains
icalculate the channel estimating covariance matrix H of this interfered cell
ih
i h;
Second processing unit 704, for this y calculated the 3rd computing unit 701
2y
2 hcarry out tired and average treatment, obtain the first tired and result R
yy, to the H that the 4th computing unit 703 calculates
dh
d hcarry out tired and average treatment, obtain the second tired and result R
hh, d, and to the H that the 4th computing unit 703 calculates
ih
i hcarry out tired and average treatment, obtain the 3rd tired and result R
hh, I;
5th computing unit 705, for according to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
icalculate this noise estimated result R
uu.
It should be noted that, the result after this tired and average treatment is respectively
wherein N is available number of samples in statistical regions, and what this processing procedure was equivalent to data asks desired operation, thus more can embody the statistical property of interference plus noise; This noise estimated result R
uucomputational methods be: use this y
2y
2 hobtain after carrying out tired and average treatment first tired and result R
yy, cut the second tired and result R
hh, dwith power ratio P
dproduct, then cut the 3rd tired and result R
hh, Iwith power ratio P
iproduct.
In the embodiment of the present invention, as this x
dwith this x
iwhen the position of time-frequency domain does not overlap, this data-signal y that the 3rd computing unit 701 receives according to this receiving element 601
2calculate this data-signal y
2covariance matrix y
2y
2 h; This second acquisition unit 702 obtains the transmitted data signal of this Serving cell and the power ratio P of transmitting pilot signal
dand the transmitted data signal of this interfered cell and transmitting pilot signal power ratio P
i; The H that 4th computing unit 703 obtains according to this channel estimating unit 602
dcalculate the channel covariance matrices H of this Serving cell
dh
d h, and according to the H that this channel estimating unit 602 obtains
icalculate the channel estimating covariance matrix H of this interfered cell
ih
i h; The y that this second processing unit 704 calculates the 3rd computing unit 701
2y
2 hcarry out tired and average treatment, obtain the first tired and result R
yy, to the H that the 4th computing unit 703 calculates
dh
d hcarry out tired and average treatment, obtain the second tired and result R
hh, d, and to the H that the 4th computing unit 703 calculates
ih
i hcarry out tired and average treatment, obtain the 3rd tired and result R
hh, I; 5th computing unit 705 is according to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
icalculate this noise estimated result R
uu.Therefore, as this x
dwith this x
iwhen the position of time-frequency domain does not overlap, when this subscriber equipment is by the wireless signal information calculating noise estimated result that utilizes Serving cell and adjacent interfered cell, by the ELIMINATION OF ITS INTERFERENCE of adjacent interfered cell outside noise estimated result, can calculating noise estimated result accurately, thus make this noise estimated result of user's equipment utilization carry out detecting, the work such as channel measurement, parameter blind estimation time, the systematic function of subscriber equipment and the transmission rate of data can be improved.
Optionally, as shown in Figure 8, in another execution mode of the embodiment of the present invention, the 5th computing unit 705 specifically comprises:
Correcting module 801, for the first power factor P that basis is preset
extra1with the second power factor P
extra2to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
irevise;
In present embodiment, due to job requirement R such as follow-up detection, channel measurement, parameter blind estimation
uufor positive definite matrix, otherwise the problems such as channel measurement mistake can be caused, therefore, in present embodiment, by adopting the first default power factor P
extra1with the second power factor P
extra2to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
irevise, object is just the R preventing from causing because channel estimating is inaccurate calculating
uunot positive definite.
Computing module 802, for according to revised formula R
uu=R
yy-R
hh, d× P
d× P
extra1-R
hh, I× P
i× P
extra2calculate this R
uu, to make this R
uufor positive definite matrix.
It should be noted that, this noise estimated result R
uucomputational methods be: use y
2y
2 hobtain after carrying out tired and average treatment first tired and result R
yy, cut the second tired and result R
hh, dwith power ratio P
dand the first power factor P
extra1product, then cut the 3rd tired and result R
hh, Iwith power ratio P
iand the second power factor P
extra2product; Normally, the first power factor P
extra1with the second power factor P
extra2for the empirical value being less than 1, thus employing formula R can be made
uu=R
yy-R
hh, d× P
d× P
extra1-R
hh, I× P
i× P
extra2calculate this R
uutime, allow this R
yyeach element on diagonal deducts a less value, to make this R calculated
uueach element on diagonal be on the occasion of, and then make this R
uufor positive definite matrix; Certainly, in order to make final result of calculation more accurate, at this R of guarantee
uuunder the prerequisite of positive definite, the first power factor P
extra1with the second power factor P
extra2also for the empirical value being greater than 1, specifically can be determined by means such as emulation, tests, be not construed as limiting here.
In the embodiment of the present invention, this correcting module 801 is according to the first power factor P preset
extra1with the second power factor P
extra2to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
irevise; This computing module 802 is according to revised formula R
uu=R
yy-R
hh, d× P
d× P
extra1-R
hh, I× P
i× P
extra2calculate R
uu, to make R
uufor positive definite matrix.
Optionally, as shown in Figure 9, in another execution mode of the invention process, this subscriber equipment can also comprise:
Amending unit 901, for working as this R
uuduring for nonpositive definite matrix, at this R
uudiagonal entry on, add default correction value respectively, with to this R
uurevise, make this R revised
uufor positive definite matrix.
In the embodiment of the present invention, as this R
uuduring for nonpositive definite matrix, amending unit 901 is at this R
uudiagonal entry on, add default correction value respectively, with to this R
uurevise, make this R revised
uufor positive definite matrix, to prevent channel estimating inaccurate.
Optionally, as shown in Figure 10, in another execution mode of the embodiment of the present invention, this subscriber equipment can also comprise:
Detecting unit 1001, for utilizing R
uuthis wireless signal is detected.
In the embodiment of the present invention, this detecting unit 1001 utilizes R
uufollow-up detection is carried out to this wireless signal, CQI measures, thus be convenient to statistics.
Embodiment shown in Fig. 6 to Figure 10 is illustrated from the concrete structure of angle to subscriber equipment of functional unit, is described from the concrete structure of hardware point of view to subscriber equipment below in conjunction with the embodiment shown in Figure 11:
As shown in figure 11, this subscriber equipment comprises: transceiver 1101, baseband processor 1102 and memory 1103.
The subscriber equipment that the embodiment of the present invention relates to can have than more or less parts illustrated in fig. 11, two or more parts can be combined, or can have different component configuration or setting, all parts can realize in the combination comprising the hardware of one or more signal transacting and/or application-specific integrated circuit (ASIC), software or hardware and software.
This receiver 1101 for
Receive wireless signal, this wireless signal comprises: pilot signal y
1;
This baseband processor 1102 for reading the instruction stored in this memory 1103, to perform following operation:
According to this y
1respectively channel estimating is carried out to Serving cell and interfered cell, obtain the channel matrix H of this Serving cell
dwith the channel matrix H of this interfered cell
i;
Obtain the transmitting pilot signal x of this Serving cell
dwith the transmitting pilot signal x of this interfered cell
i;
As this x
dwith this x
iwhen overlapping in the position of time-frequency domain, according to formula u=y
1-H
d*x
d-H
i*x
icalculate interference plus noise vector u;
Interference-plus-noise covariance matrix uu is calculated according to this u
h;
To this uu
hcarry out tired and average treatment, obtain noise estimated result R
uu;
This wireless signal also comprises: data-signal y
2, this baseband processor 1102 is also for performing following operation:
As this x
dwith this x
iwhen the position of time-frequency domain does not overlap, according to this y
2calculate this y
2covariance matrix y
2y
2 h;
Obtain the transmitted data signal of this Serving cell and the power ratio P of transmitting pilot signal
dand the transmitted data signal of this interfered cell and the power ratio P of transmitting pilot signal
i;
According to this H
dcalculate the channel covariance matrices H of this Serving cell
dh
d h, and according to this H
icalculate the channel covariance matrices H of this interfered cell
ih
i h;
To this y
2y
2 hcarry out tired and average treatment, obtain the first tired and result R
yy, to H
dh
d hcarry out tired and average treatment, obtain the second tired and result R
hh, d, and to H
ih
i hcarry out tired and average treatment, obtain the 3rd tired and result R
hh, I;
According to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
icalculate this noise estimated result R
uu;
This baseband processor 1102 is specifically for performing following operation:
According to the first power factor P preset
extra1with the second power factor P
extra2to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
irevise;
According to revised formula R
uu=R
yy-R
hh, d× P
d× P
extra1-R
hh, I× P
i× P
extra2calculate this R
uu, to make this R
uufor positive definite matrix;
This baseband processor 1102 is also for performing following operation:
As this R
uuduring for nonpositive definite matrix, at this R
uudiagonal entry on, add default correction value respectively, with to this R
uurevise, make this R revised
uufor positive definite matrix;
This baseband processor 1102 is also for performing following operation:
Utilize R
uuthis wireless signal is detected.
In the embodiment of the present invention, as this x
dwith this x
iwhen overlapping in the position of time-frequency domain, this baseband processor 1102 is according to formula u=y
1-H
d*x
d-H
i*x
icalculate interference plus noise vector u; And calculate interference-plus-noise covariance matrix uu according to this u
h, and to this uu
hcarry out tired and average treatment, obtain noise estimated result R
uu; As this x
dwith this x
iwhen the position of time-frequency domain does not overlap, according to this y
2calculate this y
2covariance matrix y
2y
2 h; According to this H
dcalculate the channel covariance matrices H of this Serving cell
dh
d h, and according to this H
icalculate the channel covariance matrices H of this interfered cell
ih
i h; And to this y
2y
2 hcarry out tired and average treatment, obtain the first tired and result R
yy, to this H
dh
d hcarry out tired and average treatment, obtain the second tired and result R
hh, d, and to this H
ih
i hcarry out tired and average treatment, obtain the 3rd tired and result R
hh, I; Last according to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
icalculate this noise estimated result R
uu.Therefore, by utilizing the wireless signal information of Serving cell and interfered cell can estimate interference plus noise accurately, thus improve the systematic function of subscriber equipment and the transmission rate of data.
In conjunction with the subscriber equipment in above-described embodiment, be understandable that, in practice, whether this subscriber equipment can collides (the transmitting pilot signal x of this Serving cell according to the pilot tone of this Serving cell and this interfered cell
dwith the transmitting pilot signal x of this interfered cell
iwhether overlap in the position of time-frequency domain), select the noise under corresponding scene to estimate mode; If the pilot tone of this Serving cell and this interfered cell was collided and be in dynamic change within a period of time, so this subscriber equipment also can carry out corresponding switching according to this dynamic change, to improve the accuracy that noise is estimated; Concrete structure can consult this content, is not described in detail herein.
Above embodiment only in order to technical scheme of the present invention to be described, is not intended to limit; Although with reference to previous embodiment to invention has been detailed description, those of ordinary skill in the art is to be understood that: it still can be modified to the technical scheme described in foregoing embodiments, or carries out equivalent replacement to wherein portion of techniques feature; And these amendments or replacement, do not make the essence of appropriate technical solution depart from the spirit and scope of various embodiments of the present invention technical scheme.
Claims (10)
1. a noise estimation method, is characterized in that, comprising:
Receive wireless signal, described wireless signal comprises: pilot signal y
1;
According to described y
1respectively channel estimating is carried out to Serving cell and interfered cell, obtain the channel matrix H of described Serving cell
dwith the channel matrix H of described interfered cell
i;
Obtain the transmitting pilot signal x of described Serving cell
dwith the transmitting pilot signal x of described interfered cell
i;
As described x
dwith described x
iwhen overlapping in the position of time-frequency domain, according to formula u=y
1-H
d*x
d-H
i*x
icalculate interference plus noise vector u;
Interference-plus-noise covariance matrix uu is calculated according to described u
h;
To described uu
hcarry out tired and average treatment, obtain noise estimated result R
uu.
2. noise estimation method according to claim 1, is characterized in that, described wireless signal also comprises: data-signal y
2, described method also comprises:
As described x
dwith described x
iwhen the position of time-frequency domain does not overlap, according to described y
2calculate described y
2covariance matrix y
2y
2 h;
Obtain the transmitted data signal of described Serving cell and the power ratio P of transmitting pilot signal
dand the transmitted data signal of described interfered cell and the power ratio P of transmitting pilot signal
i;
According to described H
dcalculate the channel covariance matrices H of described Serving cell
dh
d h, and according to described H
icalculate the channel covariance matrices H of described interfered cell
ih
i h;
To described y
2y
2 hcarry out tired and average treatment, obtain the first tired and result R
yy, to described H
dh
d hcarry out tired and average treatment, obtain the second tired and result R
hh, d, and to described H
ih
i hcarry out tired and average treatment, obtain the 3rd tired and result R
hh, I;
According to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
icalculate described noise estimated result R
uu.
3. noise estimation method according to claim 2, is characterized in that, described according to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
icalculate described noise estimated result R
uucomprise:
According to the first power factor P preset
extra1with the second power factor P
extra2to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
irevise;
According to revised formula R
uu=R
yy-R
hh, d× P
d× P
extra1-R
hh, I× P
i× P
extra2calculate described R
uu, to make described R
uufor positive definite matrix.
4. noise estimation method according to claim 2, is characterized in that, according to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
icalculate described noise estimated result R
uuafterwards, also comprise:
As described R
uuduring for nonpositive definite matrix, at described R
uudiagonal entry on, add default correction value respectively, with to described R
uurevise, make revised described R
uufor positive definite matrix.
5. the noise estimation method according to any one of Claims 1-4, is characterized in that, described method also comprises:
Utilize R
uudescribed wireless signal is detected.
6. a subscriber equipment, is characterized in that, comprising:
Receiving element, for receiving wireless signal, described wireless signal comprises: pilot signal y
1;
Channel estimating unit, for the described y received according to described receiving element
1respectively channel estimating is carried out to Serving cell and interfered cell, obtain the channel estimate matrix H of described Serving cell
dwith the channel estimate matrix H of described interfered cell
i;
First acquiring unit, for obtaining the transmitting pilot signal x of described Serving cell
dwith the transmitting pilot signal x of described interfered cell
i;
First computing unit, for working as described x
dwith described x
iwhen overlapping in the position of time-frequency domain, according to formula u=y
1-H
d*x
d-H
i*x
icalculate interference plus noise vector u;
Second computing unit, the described u for obtaining according to described first computing unit calculates interference-plus-noise covariance matrix uu
h;
First processing unit, for the described uu calculated described second computing unit
hcarry out tired and average treatment, obtain noise estimated result R
uu.
7. subscriber equipment according to claim 6, is characterized in that, described wireless signal also comprises: data-signal y
2, described subscriber equipment also comprises:
3rd computing unit, for working as described x
dwith described x
iwhen the position of time-frequency domain does not overlap, according to the described y that described receiving element receives
2calculate described y
2covariance matrix y
2y
2 h;
Second acquisition unit, for the power ratio P of the transmitted data signal and transmitting pilot signal that obtain described Serving cell
dand the transmitted data signal of described interfered cell and transmitting pilot signal power ratio P
i;
4th computing unit, for according to described H
dcalculate the channel covariance matrices H of described Serving cell
dh
d h, and according to described H
icalculate the channel estimating covariance matrix H of described interfered cell
ih
i h;
Second processing unit, for described y
2y
2 hcarry out tired and average treatment, obtain the first tired and result R
yy, to described H
dh
d hcarry out tired and average treatment, obtain the second tired and result R
hh, d, and to described H
ih
i hcarry out tired and average treatment, obtain the 3rd tired and result R
hh, I;
5th computing unit, for according to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
icalculate described noise estimated result R
uu.
8. subscriber equipment according to claim 7, is characterized in that, described 5th computing unit comprises:
Correcting module, for the first power factor P that basis is preset
extra1with the second power factor P
extra2to formula R
uu=R
yy-R
hh, d× P
d-R
hh, I× P
irevise;
Computing module, for according to revised formula R
uu=R
yy-R
hh, d× P
d× P
extra1-R
hh, I× P
i× P
extra2calculate described R
uu, to make described R
uufor positive definite matrix.
9. subscriber equipment according to claim 7, is characterized in that, described subscriber equipment also comprises:
Amending unit, for working as described R
uuduring for nonpositive definite matrix, at described R
uudiagonal entry on, add default correction value respectively, with to described R
uurevise, make revised described R
uufor positive definite matrix.
10. the subscriber equipment according to any one of claim 6 to 9, is characterized in that, described subscriber equipment also comprises:
Detecting unit, for utilizing R
uudescribed wireless signal is detected.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510037118.6A CN104717163B (en) | 2015-01-23 | 2015-01-23 | A kind of noise estimation method and user equipment |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201510037118.6A CN104717163B (en) | 2015-01-23 | 2015-01-23 | A kind of noise estimation method and user equipment |
Publications (2)
Publication Number | Publication Date |
---|---|
CN104717163A true CN104717163A (en) | 2015-06-17 |
CN104717163B CN104717163B (en) | 2018-01-19 |
Family
ID=53416137
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201510037118.6A Expired - Fee Related CN104717163B (en) | 2015-01-23 | 2015-01-23 | A kind of noise estimation method and user equipment |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN104717163B (en) |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107836100A (en) * | 2015-08-31 | 2018-03-23 | 华为技术有限公司 | Method and apparatus for being estimated using the low complex degree ISI of sparse discontinuous time domain pilot |
CN110519186A (en) * | 2018-05-22 | 2019-11-29 | 北京松果电子有限公司 | The method, apparatus and storage medium and electronic equipment of parameter Estimation |
CN113381949A (en) * | 2020-03-09 | 2021-09-10 | Oppo广东移动通信有限公司 | Noise estimation method, device, receiver and storage medium of physical broadcast channel |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030186659A1 (en) * | 2002-03-30 | 2003-10-02 | Kolze Thomas J. | VOFDM receiver correlation matrix processing using factorization |
CN101212236A (en) * | 2007-12-25 | 2008-07-02 | 北京天碁科技有限公司 | TD-SCDMA terminal and interfered cell information detection and channel estimation method |
CN104243377A (en) * | 2014-09-01 | 2014-12-24 | 华为技术有限公司 | Interference suppression method and device |
-
2015
- 2015-01-23 CN CN201510037118.6A patent/CN104717163B/en not_active Expired - Fee Related
Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030186659A1 (en) * | 2002-03-30 | 2003-10-02 | Kolze Thomas J. | VOFDM receiver correlation matrix processing using factorization |
CN101212236A (en) * | 2007-12-25 | 2008-07-02 | 北京天碁科技有限公司 | TD-SCDMA terminal and interfered cell information detection and channel estimation method |
CN104243377A (en) * | 2014-09-01 | 2014-12-24 | 华为技术有限公司 | Interference suppression method and device |
Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107836100A (en) * | 2015-08-31 | 2018-03-23 | 华为技术有限公司 | Method and apparatus for being estimated using the low complex degree ISI of sparse discontinuous time domain pilot |
CN110519186A (en) * | 2018-05-22 | 2019-11-29 | 北京松果电子有限公司 | The method, apparatus and storage medium and electronic equipment of parameter Estimation |
CN110519186B (en) * | 2018-05-22 | 2022-03-18 | 北京小米松果电子有限公司 | Method, apparatus and storage medium for parameter estimation and electronic device |
CN113381949A (en) * | 2020-03-09 | 2021-09-10 | Oppo广东移动通信有限公司 | Noise estimation method, device, receiver and storage medium of physical broadcast channel |
CN113381949B (en) * | 2020-03-09 | 2022-10-28 | Oppo广东移动通信有限公司 | Noise estimation method, device, receiver and storage medium of physical broadcast channel |
Also Published As
Publication number | Publication date |
---|---|
CN104717163B (en) | 2018-01-19 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
EP2594032B1 (en) | Method and apparatus for determining ue mobility status | |
EP3320621B1 (en) | Uplink spectrum analysis technique for passive intermodulation (pim) detection | |
CN109672635B (en) | Time domain correlation estimation method, device and equipment | |
US11044134B2 (en) | Method and device of estimating timing location of round trip time | |
EP3188555B1 (en) | Methods for estimating reference signal received power of cellular communication signals | |
EP3214884A1 (en) | Method and device for adaptive modulation and coding | |
CN102640530A (en) | Wireless base station | |
EP3427388B1 (en) | Non-linear interference detection | |
CN104717163A (en) | Noise estimation method and user equipment | |
CN101420248B (en) | Method and device for frequency bias estimation of TD-SCDMA terminal | |
CN109873710A (en) | A kind of predictor method and device of network covering property | |
CN104412115B (en) | Decline Doppler-frequency estimation device and decline doppler frequency estimation method | |
JP2016131352A (en) | Communication device, communication method, and communication program | |
EP3152851B1 (en) | Determination of channel condition indication | |
US9571260B2 (en) | Channel estimation method, channel estimation apparatus and communication device for CDMA systems | |
CN100596236C (en) | An interface/signal ratio estimation method and device in communication system | |
CN104601311A (en) | Same-frequency interference suppression method and device | |
KR100653413B1 (en) | Method for measuring interference power in time slot cdma system | |
CN103095610A (en) | Frequency offset estimation method and device and communication equipment | |
US9769687B2 (en) | Method and related mobile device for determining a reference signal received power | |
US20110261870A1 (en) | Apparatus and method for measuring radio quality | |
CN104243368A (en) | Time slot structure phase calibration method and device based on TD-SCDMA system | |
CN104243364B (en) | A kind of uplink frequency offset compensation method | |
CN103023841A (en) | Direct current offset compensation method and device | |
CN104581759B (en) | Method and device for measuring Received Signal Code Power (RSCP) of wireless access network system |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
C06 | Publication | ||
PB01 | Publication | ||
C10 | Entry into substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20180119 Termination date: 20190123 |
|
CF01 | Termination of patent right due to non-payment of annual fee |