CN104717163A - Noise estimation method and user equipment - Google Patents

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

A kind of noise estimation method and subscriber equipment

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, d}with power ratio P _dproduct, then cut the 3rd tired and result R _{hh, I}with 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, d}with power ratio P _dand the first power factor P _extra1product, then cut the 3rd tired and result R _{hh, I}with 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 $R_{\mathrm{yy}}=\frac{\underset{i=0}{\overset{n}{\mathrm{\&Sigma;}}}{\mathrm{yy}}^H}{N},R_{\mathrm{hh},d}=\frac{\underset{i=0}{\overset{N}{\mathrm{\&Sigma;}}}{H}_d{H}_d^H}{N},$ $R_{\mathrm{hh},I}=\frac{\underset{i=0}{\overset{N}{\mathrm{\&Sigma;}}}{H}_I{H}_I^H}{N};$

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, d}with power ratio P _dproduct, then cut the 3rd tired and result R _{hh, I}with 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, d}with power ratio P _dand the first power factor P _extra1product, then cut the 3rd tired and result R _{hh, I}with 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.