CN101534162A - Method and system for measuring noise coefficient - Google Patents
Method and system for measuring noise coefficient Download PDFInfo
- Publication number
- CN101534162A CN101534162A CN200910135218A CN200910135218A CN101534162A CN 101534162 A CN101534162 A CN 101534162A CN 200910135218 A CN200910135218 A CN 200910135218A CN 200910135218 A CN200910135218 A CN 200910135218A CN 101534162 A CN101534162 A CN 101534162A
- Authority
- CN
- China
- Prior art keywords
- signal
- gmsk
- noise
- error rate
- power
- 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
Images
Landscapes
- Digital Transmission Methods That Use Modulated Carrier Waves (AREA)
Abstract
The invention discloses a method and a system for measuring noise coefficient which belong to the communication field. The method includes steps as follows: obtaining an output signal to noise ratio reaching to a pre-set error rate; obtaining an input signal power reaching to the pre-set error rate; obtaining an input noise power according with a space noise power; obtaining a noise coefficient according with the input signal to noise ratio, the input signal power and the input noise power. The system includes: an output signal to noise obtaining module, an input signal power obtaining module, an input noise power obtaining module and a noise coefficient obtaining module. The method can obtain noise coefficient measured indirectly by inducing BER, avoid error brought by measuring power directly, increase precision of the noise coefficient and reduce measuring cost.
Description
Technical field
The present invention relates to the communications field, particularly measure the method and system of noise factor.
Background technology
Along with development of Communication Technique, the zero intermediate frequency reciver structure has replaced traditional superheterodyne receiver structure, become the structure of the main flow of present GSM (Global System for Mobile Communication, global system for mobile communications) terminal radio frequency receiver.The zero intermediate frequency reciver structure only needs the one-level mixing, and (the GSM baseband signal is 0Hz~100KHz) just directly high-frequency received signal to be converted to baseband signal.And noise factor (NF, Noise Figure) is an important indicator of weighing the radio-frequency transmitter performance, so need the noise factor of measurement zero intermediate frequency reciver to judge the performance of zero intermediate frequency reciver.
The method of measuring noise factor in the prior art mainly contains following two kinds:
1) adopt the gain method to measure noise factor, specific as follows: as at first to add input signal, use frequency spectrograph to measure the gain G of DUT (Device Under Test, measured device); Close input signal then, use frequency spectrograph to measure the output noise power N of DUT
oAccording to NF=N
o(dBm)-G (dB)-10log
10B-10log
10(kT
0) calculate the noise factor of DUT, wherein, k represents Boltzmann constant, B represents GSM equivalent bandwidth (being generally 200KHz), T
0The expression virtual temperature (is got T usually
0=290K).
2) adopt the Y factor method to measure noise factor, specific as follows: it is 0V (the noise head is operated in cold temperature) that noise head voltage is set, and uses the noise figure meter device to measure the output noise power N of DUT
O1It is high voltage (the noise head is operated in hot temperature) that the noise head is set, and uses the noise figure meter device to measure the output noise power N of DUT
O2According to Y=N
O2/ N
O1, calculate the Y factor value, look into ENR (Excess Noise Radio, the excess noise ratio) value that noise head parameter obtains measuring bandwidth, according to NF=ENR (dB)-10log
10(Y-1) calculate the noise factor of DUT.
In realizing process of the present invention, the inventor finds:
1) because GSM zero intermediate frequency reciver output signal frequency scope is near DC~100KHz (direct current), when adopting the noise factor of gain method measure GSM zero intermediate frequency reciver, the DC component of zero intermediate frequency reciver direct current biasing and frequency spectrograph self can be measured to produce and disturb baseband signal, the gain of the DUT that measures and output noise power error are very big, and the noise factor precision that obtains is very low; And, the gain method generally is applicable to measures noise factor higher system (NF〉10dB), and the noise factor of GSM zero intermediate frequency reciver is generally about 6dB, so to the noise floor of the frequency spectrograph higher requirement of having made an uproar, the gain method not too is fit to the noise factor of testing GSM zero intermediate frequency reciver.
When 2) adopting the noise factor of Y factor method measure GSM zero intermediate frequency reciver, the DC component of zero intermediate frequency reciver direct current biasing and noise figure meter device self can be measured to produce equally and disturb baseband signal, the Y factor error that measures is very big, and the noise factor precision that obtains is very low; And, adopt the Y factor method, need additionally acquire expensive noise figure meter device and noise head, cost is too high; In addition, expensive noise figure meter device is only to be used for the test noise coefficient, and utilization rate is lower, causes the wasting of resources.
Summary of the invention
Measure cost in order to improve precision, the reduction of measuring noise factor, the embodiment of the invention provides a kind of method and system of measuring noise factor, and described technical scheme is as follows:
On the one hand, the embodiment of the invention provides a kind of method of measuring noise factor, and this method comprises:
Output signal-to-noise ratio when obtaining the error rate that reaches default;
Obtain the input signal power when reaching the described default error rate;
According to spatial noise power, obtain input noise power;
According to described output signal-to-noise ratio, described input signal power and described input noise power, obtain noise factor.
On the other hand, the embodiment of the invention provides a kind of system of measuring noise factor, and this system comprises:
The output signal-to-noise ratio acquisition module, the output signal-to-noise ratio when being used to obtain the error rate that reaches default;
The input signal power acquisition module is used to obtain the input signal power when reaching the described default error rate;
Input noise power acquisition module is used for obtaining input noise power according to spatial noise power;
The noise factor acquisition module is used for obtaining noise factor according to described output signal-to-noise ratio, described input signal power and described input noise power.
On the other hand, the embodiment of the invention also provides a kind of system of measuring noise factor, and this system comprises:
Signal generating apparatus, signal analysis equipment and signal handling equipment;
Described signal generating apparatus is used to receive and according to first pseudo-random code sequence that described signal handling equipment generates, produces and export the first simulation GMSK (Guassian Minimum Shift Keying) GMSK IQ signal;
Described signal analysis equipment is used for receiving and the described first simulation GMSK IQ signal of demodulation, obtains and export an IQ demodulating data;
Described signal handling equipment, be used for generating and exporting first pseudo-random code sequence, and according to described first pseudo-random code sequence and a described IQ demodulating data, obtain first error rate, and when regulating first noise be loaded in the described signal generating apparatus and make described first error rate reach the default error rate, with the signal to noise ratio of described first simulation GMSK IQ signal of current time and described first noise as output signal-to-noise ratio.
On the other hand, the embodiment of the invention also provides a kind of output signal-to-noise ratio to obtain equipment, and described output signal-to-noise ratio obtains equipment and comprises:
The pseudo-random code sequence generation unit is used for generating and the output pseudo-random code sequence;
The first GMSK (Guassian Minimum Shift Keying) IQ signal acquiring unit is used for receiving and according to described pseudo-random code sequence, GMSK (Guassian Minimum Shift Keying) GMSK IQ signal is simulated in generation and output;
IQ demodulating data acquiring unit is used for receiving and the described simulation of demodulation GMSK IQ signal, obtains and export the IQ demodulating data;
Error rate acquiring unit is used to receive described IQ demodulating data and described pseudo-random code sequence, according to described pseudo-random code sequence and described IQ demodulating data, obtains the error rate;
First regulon is used for loading and regulating noise, make the signal to noise ratio between described simulation GMSK IQ signal and the described noise, and the described error rate changes;
The output signal-to-noise ratio acquiring unit is used for when described first regulon is regulated described noise and made the described error rate reach the described default error rate, with the signal to noise ratio of the simulation GMSK IQ signal of current time as output signal-to-noise ratio.
On the other hand, the embodiment of the invention also provides a kind of input signal power to obtain equipment, and described input signal power obtains equipment and comprises:
The pseudo-random code sequence generation unit is used for generating and the output pseudo-random code sequence;
GMSK (Guassian Minimum Shift Keying) radiofrequency signal acquiring unit is used for receiving and according to described pseudo-random code sequence, generation is also exported GMSK (Guassian Minimum Shift Keying) radio frequency GMSK RF signal;
The second GMSK (Guassian Minimum Shift Keying) IQ signal acquiring unit is used for reception and described GMSK RF signal frequency conversion is generated simulation GMSK IQ signal, exports described simulation GMSK IQ signal;
IQ demodulating data acquiring unit is used for receiving and the described simulation of demodulation GMSK IQ signal, obtains and export the IQ demodulating data;
Error rate acquiring unit is used to receive described IQ demodulating data and described pseudo-random code sequence, according to described pseudo-random code sequence and described IQ demodulating data, obtains the error rate;
Second regulon is used to regulate the power of described GMSK RF signal, and the described error rate is changed;
The input signal power acquiring unit is used for when power that described second regulon is regulated described GMSK RF signal makes the described error rate reach the described default error rate, with the power of the GMSK RF signal of current time as input signal power.
The beneficial effect of the technical scheme that the embodiment of the invention provides is:
By introducing BER, measure noise factor indirectly, the error of having avoided direct measurement power to bring has improved the precision of noise factor, has reduced the measurement cost.
Description of drawings
Fig. 1 is a kind of method flow diagram of measuring noise factor that the embodiment of the invention 1 provides;
Fig. 2 is a kind of method flow diagram of measuring noise factor that the embodiment of the invention 2 provides;
Fig. 3 is a kind of output signal-to-noise ratio SNR that obtains that the embodiment of the invention 2 provides
OutThe time, the annexation schematic diagram between PC 30, SG 40 and the VSA50;
Fig. 4 is a kind of input signal power S that obtains that the embodiment of the invention 2 provides
InputThe time, the annexation schematic diagram between PC 30, SG 40, VSA 50 and the GSM zero intermediate frequency reciver 60;
Fig. 5 is a kind of system configuration schematic diagram of measuring noise factor that the embodiment of the invention 3 provides;
Fig. 6 is the system configuration schematic diagram that the another kind that provides of the embodiment of the invention 4 is measured noise factor;
Fig. 7 is the structural representation that a kind of output signal-to-noise ratio that the embodiment of the invention 5 provides obtains equipment;
Fig. 8 is the structural representation that a kind of input signal power that the embodiment of the invention 6 provides obtains equipment.
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, embodiment of the present invention is described further in detail below in conjunction with accompanying drawing.
Embodiment 1
Referring to Fig. 1, the embodiment of the invention provides a kind of method of measuring noise factor, and this method comprises:
101: the output signal-to-noise ratio when obtaining the error rate that reaches default;
102: the input signal power when obtaining the error rate that reaches default;
103:, obtain input noise power according to spatial noise power;
104:, obtain noise factor according to output signal-to-noise ratio, input signal power and input noise power.
Need to prove that the unit of output signal-to-noise ratio, input signal power is dBm in the present embodiment; The unit of input noise power is dB; The unit of the noise factor that obtains is dB.
Particularly, in the present embodiment, the output signal-to-noise ratio when obtaining the error rate that reaches default can comprise:
Generate pseudo-random code sequence;
According to pseudo-random code sequence, produce simulation GMSK (Guassian Minimum Shift Keying) GMSK IQ signal;
Demodulation simulation GMSK IQ signal obtains the IQ demodulating data;
According to pseudo-random code sequence and IQ demodulating data, obtain the error rate;
Load and the adjusting noise, make the signal to noise ratio between simulation GMSK IQ signal and the noise, and the error rate changes;
When the error rate reaches the default error rate, with the simulation GMSK IQ signal of current time and the signal to noise ratio between the noise as output signal-to-noise ratio.
Particularly, in the present embodiment, the input signal power when obtaining the error rate that reaches default can comprise:
Generate pseudo-random code sequence;
According to pseudo-random code sequence, produce GMSK (Guassian Minimum Shift Keying) radio frequency GMSK RF signal;
GMSK RF signal frequency conversion is generated simulation GMSK IQ signal;
Demodulation simulation GMSK IQ signal obtains the IQ demodulating data;
According to pseudo-random code sequence and IQ demodulating data, obtain the error rate;
Regulate the power of GMSK RF signal, the error rate is changed;
When the error rate reaches the default error rate, with the power of the GMSK RF signal of current time as input signal power.
Particularly, noise can be additive white Gaussian noise AWGN.
Particularly, pseudo-random code sequence can be the PN9 sign indicating number.
Particularly, the Yu She error rate can be 2.439%.
The described method of present embodiment by introducing BER, measures noise factor indirectly, and the error of having avoided direct measurement power to bring has improved the precision of noise factor, has reduced the measurement cost.
Embodiment 2
The embodiment of the invention provides a kind of method of measuring noise factor, and referring to Fig. 2, this method comprises:
201:,, obtain the output signal-to-noise ratio SNR of GSM zero intermediate frequency reciver 60 by BER according to the relation of BER (Bit Error Ratio, the error rate) with SNR (Signal to Noise Ratio, signal to noise ratio)
Out
Need to prove that BER is an index of weighing the transfer of data accuracy, BER is meant that the bit number that goes wrong in the transmission accounts for the ratio of the total bit number of transmission, and there are following relation in BER and SNR, and SNR is more little, and BER is big more, and SNR is big more, and BER is more little; SNR is more little, illustrate that then noise is big more to the interference of signal, thereby BER can be big more, and on the contrary, SNR is big more, illustrate that then noise is more little to the interference of signal, thereby BER can be more little.
The embodiment of the invention can be by using PC (Personal Computer, PC) 30, SG (Signal Generator, signal generator) 40 and VSA (Vector Signal Analyzer, VSA) 50, obtain BER, obtain the output signal-to-noise ratio SNR of GSM zero intermediate frequency reciver 60
Out, referring to Fig. 3, for obtaining output signal-to-noise ratio SNR
OutThe time, the annexation schematic diagram between PC 30, SG 40 and the VSA50, need to prove does not need GSM zero intermediate frequency reciver 60 in this step.
Particularly, step 201 can for:
201a:PC30 generates and output PN sign indicating number.
Need to prove, can generate corresponding PN sign indicating number by software program according to actual needs, the preferred PN sign indicating number that generates is the PN9 sign indicating number in the present embodiment.
201b:SG40 receives and according to the PN sign indicating number, produces and output simulation GMSK IQ (GaussianMinimum Shift Keying In-phase Quadrate, GMSK (Guassian Minimum Shift Keying) IQ) signal.
201c:VSA50 receives and demodulation simulation GMSK IQ signal, obtains and export the IQ demodulating data.
201d:PC30 receives the IQ demodulating data, and according to PN sign indicating number and IQ demodulating data, obtains BER.
Wherein, obtain BER according to PN sign indicating number and IQ demodulating data and be specially, contrast PN sign indicating number and IQ demodulating data obtain the bit number that goes wrong, and with the total bit number of incorrect bit number divided by the PN sign indicating number, obtain BER then.For example: the PN sign indicating number is " 10101 ", obtains the IQ demodulating data and is " 10001 ", and the incorrect bit of the relative PN sign indicating number of IQ demodulating data is the 3rd bit so, and the incorrect bit number is 1, and total bit number of PN sign indicating number is 5, thereby BER is 20%.
201e: in SG40, load noise, and regulate this noise and make SNR between simulation GMSK IQ signal and the noise, and BER changes.
Wherein, noise can be AWGN (Additive White Gaussian Noise, additive white Gaussian noise), impulsive noise or fluctuation noise etc., and present embodiment is preferably AWGN.
201f: when BER reaches default BER, with the SNR of the simulation GMSK IQ signal of current time output signal-to-noise ratio SNR as GSM zero intermediate frequency reciver 60
Output
Wherein, default BER can be according to the actual conditions setting, and default BER is preferably 2.439% in the present embodiment.And, for convenience of description, will reach when presetting BER, the SNR of GMSK IQ signal is called the base band demodulating signal to noise ratio, and uses SNR
BBExpression.Current time is the moment that BER reaches default BER.With the SNR of current time GMSK IQ signal, as the output signal-to-noise ratio SNR of GSM zero intermediate frequency reciver 60
Output, i.e. SNR
Output=SNR
BBThe SNR of current time GMSK IQ signal can be by obtaining current time the performance number of noise and the performance number of GMSK IQ, the performance number of the GMSK IQ performance number divided by AWGN is obtained.
202:,, obtain the input signal power S of GSM zero intermediate frequency reciver 60 by BER according to the relation of BER and signal power
Input
Need to prove that there are following relation in BER and signal power, signal power is more little, and BER is more little, and signal power is big more, and BER is big more.
The embodiment of the invention obtains BER by using PC30, SG and VSA50, obtains the input signal power S of GSM zero intermediate frequency reciver 60
Input, referring to Fig. 4, for obtaining input signal power S
InputThe time, the annexation schematic diagram between PC30, SG 40, VSA 50 and the GSM zero intermediate frequency reciver 60, need to prove needs GSM zero intermediate frequency reciver 60 in this step.
Particularly, step 202 can for:
202a:PC30 generates and output PN sign indicating number.
This step and step 201a are similar, repeat no more herein.
202b:SG40 receives and according to the PN sign indicating number, produces and output GMSK RF (GMSK RadioFrequency, GMSK (Guassian Minimum Shift Keying) radio frequency) signal.
202c:GSM zero intermediate frequency reciver 60 receives and GMSK RF signal frequency conversion is simulation GMSK IQ signal, output simulation GMSK IQ signal.
202d:VSA50 receives and demodulation simulation GMSK IQ signal, obtains and export the IQ demodulating data.
202e:PC30 receives the IQ demodulating data, and according to PN sign indicating number and IQ demodulating data, obtains BER.
This step and step 201d are similar, repeat no more herein.
202f: regulate the power of GMSK RF signal, BER is changed.
202g: when BER reaches default BER, with the power P of the GMSK RF signal of current time
SGInput signal power S as GSM zero intermediate frequency reciver 60
Input, i.e. S
Input=P
SG
203: according to spatial noise power N
0, obtain the input noise power N of GSM zero intermediate frequency reciver 60
Input
Be specially: calculate and spatial noise power N
0Input noise power N as GSM zero intermediate frequency reciver 60
Input, i.e. N
Input=N
0
Spatial noise power N
0Specifically as the formula (1):
N
0=10×1gKTB (1)
Wherein, K is Boltzmann constant (K=1.3806503 * 10
-23m
2Kgs
-2k
-1), T represents virtual temperature (but value is 290K), B represents GSM bandwidth (but value is 200KHz).
When getting K=1.3806503 * 10
-23m
2Kgs
-2k
-1, when T=290K, B=200KHZ, calculate spatial noise power N according to formula (1)
0: N
0=10 * 1gKTB=-121dBm.
204: according to output signal-to-noise ratio SNR
Output, input signal power S
InputWith input noise power N
Input, the noise factor NF of acquisition GSM zero intermediate frequency reciver 60.
Be specially: with input noise power N
InputDeduct input signal power S
Input, obtain input signal-to-noise ratio SNR
InputWith input signal-to-noise ratio SNR
InputDeduct output signal-to-noise ratio SNR
Output, obtain noise factor NF, as the formula (2):
NF(dB)=SNR
input-SNR
output (2)
=(S
input-N
input)-SNR
output
Wherein, S
Input=P
SG, N
Input=N
0, SNR
Output=SNR
BB
Need to prove input noise power N in the present embodiment
Input, input signal power S
InputUnit be dBm; Output signal-to-noise ratio SNR
OutputUnit be dB; The unit of the noise factor NF that obtains is dB.
And need to prove that the described method of the embodiment of the invention is not limited to the noise factor of measure GSM zero intermediate frequency reciver, and PC 30, SG 40 and VSA50 also can be other similar equipment.
Need to prove in addition, when using same group of measuring instrument to utilize the described method of the embodiment of the invention to measure the noise factor of a plurality of measured devices, the result of step 201 and step 203 is the same to a plurality of measured devices, step 201 and step 203 need are carried out once, can reuse the result of step 201 and step 203.
The described method of present embodiment by introducing BER, measures the noise factor of GSM zero intermediate frequency reciver indirectly, has avoided near the error that power brings the direct measurement zero intermediate frequency, has improved the precision of noise factor; And can adopt equipment commonly used, not need to purchase costliness and the very low noise figure meter of utilance, effectively reduce cost, improve equipment utilization rate, avoid the wasting of resources; And, when measuring the noise factor of a plurality of measured devices, only need obtain output signal-to-noise ratio and input noise power, simplified measuring process, can save the plenty of time.
Embodiment 3
The embodiment of the invention provides a kind of system of measuring noise factor, and referring to Fig. 5, this system comprises:
Output signal-to-noise ratio acquisition module 301, the output signal-to-noise ratio when being used to obtain the error rate that reaches default;
Input signal power acquisition module 302, the input signal power when being used to obtain the error rate that reaches default;
Input noise power acquisition module 303 is used for obtaining input noise power according to spatial noise power;
Noise factor acquisition module 304 is used for obtaining noise factor according to output signal-to-noise ratio, input signal power and input noise power.
Need to prove that the unit of output signal-to-noise ratio, input signal power is dBm in the present embodiment; The unit of input noise power is dB; The unit of the noise factor that obtains is dB.
Particularly, output signal-to-noise ratio acquisition module 301 can comprise:
The pseudo-random code sequence generation unit is used for generating and the output pseudo-random code sequence;
The first GMSK (Guassian Minimum Shift Keying) IQ signal acquiring unit is used for receiving and according to pseudo-random code sequence, GMSK (Guassian Minimum Shift Keying) GMSK IQ signal is simulated in generation and output;
IQ demodulating data acquiring unit is used for receiving and demodulation simulation GMSK IQ signal, obtains and export the IQ demodulating data;
Error rate acquiring unit is used to receive IQ demodulating data and pseudo-random code sequence, according to pseudo-random code sequence and IQ demodulating data, obtains the error rate;
First regulon is used for loading and regulating noise, and the signal to noise ratio between the error rate and simulation GMSK IQ signal and the noise is changed;
The output signal-to-noise ratio acquiring unit is used for when regulon is regulated noise and made the error rate reach the default error rate, with the signal to noise ratio of the simulation GMSK IQ signal of current time as output signal-to-noise ratio.
Need to prove, error rate acquiring unit and pseudo-random code sequence generation unit can be realized by a unit, be that the follow-up pseudo-random code sequence generation unit that can pass through receives the IQ demodulating data, according to the pseudo-random code sequence of pseudo-random code sequence generation unit self generation and the IQ demodulating data of reception, obtain the error rate.
Particularly, the input signal power acquisition module can comprise:
The pseudo-random code sequence generation unit is used for generating and the output pseudo-random code sequence;
GMSK (Guassian Minimum Shift Keying) radiofrequency signal acquiring unit is used for receiving and according to pseudo-random code sequence, generation is also exported GMSK (Guassian Minimum Shift Keying) radio frequency GMSK RF signal;
The second GMSK (Guassian Minimum Shift Keying) IQ signal acquiring unit is used for reception and GMSK RF signal frequency conversion is generated simulation GMSK IQ signal;
IQ demodulating data acquiring unit is used for receiving and demodulation simulation GMSK IQ signal, obtains the IQ demodulating data;
Error rate acquiring unit is used to receive IQ demodulating data and pseudo-random code sequence, according to pseudo-random code sequence and IQ demodulating data, obtains the error rate;
Second regulon is used to regulate the power of GMSK RF signal, and the error rate is changed;
The input signal power acquiring unit is used for when power that second regulon is regulated GMSK RF signal makes the error rate reach the default error rate, with the power of the GMSK RF signal of current time as input signal power.
Need to prove, error rate acquiring unit and pseudo-random code sequence generation unit can be realized by a unit, be that the follow-up pseudo-random code sequence generation unit that can pass through receives the IQ demodulating data, according to the pseudo-random code sequence of pseudo-random code sequence generation unit self generation and the IQ demodulating data of reception, obtain the error rate.
Particularly, the noise of loading can be additive white Gaussian noise AWGN.
Particularly, pseudo-random code sequence can be the PN9 sign indicating number.
Particularly, the Yu She error rate can be 2.439%.
The described system of present embodiment by introducing BER, measures the noise factor of GSM zero intermediate frequency reciver indirectly, has avoided near the error that power brings the direct measurement zero intermediate frequency, has improved the precision of noise factor; And can adopt equipment commonly used, not need to purchase costliness and the very low noise figure meter of utilance, effectively reduce cost, improve equipment utilization rate, avoid the wasting of resources.
Embodiment 4
The embodiment of the invention provides a kind of system of measuring noise factor, and referring to Fig. 6, this system comprises:
Signal generating apparatus 401, signal analysis equipment 402 and signal handling equipment 403;
Signal generating apparatus 401 is used to receive and according to first pseudo-random code sequence that signal handling equipment 403 generates, produces and export the first simulation GMSK (Guassian Minimum Shift Keying) GMSK IQ signal;
Further,
Signal generating apparatus 401 also is used to receive and according to second pseudo-random code sequence that signal handling equipment 403 generates, produces also output GMSK (Guassian Minimum Shift Keying) radio frequency GMSK RF signal;
Further, this system also comprises:
Input noise power obtains equipment 404, is used for obtaining input noise power according to spatial noise power;
Noise factor obtains equipment 405, is used for the output signal-to-noise ratio and the input signal power that obtain according to signal handling equipment 403, and input noise power obtains the input noise power that equipment 404 obtains, and obtains noise factor.
Particularly, signal generating apparatus 401 can be that signal generator SG, signal analysis equipment 402 can be that VSA VSA, signal handling equipment 403 can be PC PC;
Particularly, the noise of loading can be additive white Gaussian noise AWGN.
Particularly, first pseudo-random code sequence and second pseudo-random code sequence can be the PN9 sign indicating number.
Particularly, the Yu She error rate can be 2.439%.
The described system of present embodiment by introducing BER, measures noise factor indirectly, and the error of having avoided direct measurement to bring has improved the precision of noise factor; And can adopt equipment commonly used, not need to purchase costliness and the very low noise figure meter of utilance, effectively reduce cost, improve equipment utilization rate, avoid the wasting of resources.
Embodiment 5
The embodiment of the invention provides a kind of output signal-to-noise ratio to obtain equipment, and referring to Fig. 7, this output signal-to-noise ratio obtains equipment and comprises:
Pseudo-random code sequence generation unit 501 is used for generating and the output pseudo-random code sequence;
The first GMSK (Guassian Minimum Shift Keying) IQ signal acquiring unit 502 is used for receiving and according to pseudo-random code sequence, GMSK (Guassian Minimum Shift Keying) GMSK IQ signal is simulated in generation and output;
IQ demodulating data acquiring unit 503 is used for receiving and demodulation simulation GMSK IQ signal, obtains and export the IQ demodulating data;
Error rate acquiring unit 504 is used to receive IQ demodulating data and pseudo-random code sequence, according to pseudo-random code sequence and IQ demodulating data, obtains the error rate;
Output signal-to-noise ratio acquiring unit 506 is used for when first regulon 505 is regulated noises and made the error rate reach the default error rate, with the signal to noise ratio of the simulation GMSK IQ signal of current time as output signal-to-noise ratio.
Particularly, the noise of loading can be additive white Gaussian noise AWGN.
Particularly, pseudo-random code sequence can be the PN9 sign indicating number.
Particularly, the Yu She error rate can be 2.439%.
The described output signal-to-noise ratio of present embodiment obtains equipment, by introducing BER, measures output signal-to-noise ratio indirectly, and the error of having avoided direct measurement output signal-to-noise ratio to bring has improved the precision of output signal-to-noise ratio; And can adopt equipment commonly used, effectively reduce cost, improve equipment utilization rate, avoid the wasting of resources.
Embodiment 6
The embodiment of the invention provides a kind of input signal power to obtain equipment, and referring to Fig. 8, this input signal power obtains equipment and comprises:
Pseudo-random code sequence generation unit 601 is used for generating and the output pseudo-random code sequence;
GMSK (Guassian Minimum Shift Keying) radiofrequency signal acquiring unit 602 is used for receiving and according to pseudo-random code sequence, generation is also exported GMSK (Guassian Minimum Shift Keying) radio frequency GMSK RF signal;
The second GMSK (Guassian Minimum Shift Keying) IQ signal acquiring unit 603 is used for receiving and with GMSK RF signal frequency conversion generation simulation GMSK IQ signal, GMSK IQ signal is simulated in output;
IQ demodulating data acquiring unit 604 is used for receiving and demodulation simulation GMSK IQ signal, obtains and export the IQ demodulating data;
Error rate acquiring unit 605 is used to receive IQ demodulating data and pseudo-random code sequence, according to pseudo-random code sequence and IQ demodulating data, obtains the error rate;
Input signal power acquiring unit 607 is used for regulating when second regulon 606 power of mistake GMSK RF signals, when making code check reach the default error rate, with the power of the GMSK RF signal of current time as input signal power.
Particularly, pseudo-random code sequence can be the PN9 sign indicating number.
Particularly, the Yu She error rate can be 2.439%.
The described input signal power of present embodiment obtains equipment, by introducing BER, measures input signal power indirectly, and the error of having avoided direct measurement input signal power to bring has improved the precision of input signal power; And can adopt equipment commonly used, effectively reduce cost, improve equipment utilization rate, avoid the wasting of resources.
The embodiment of the invention can realize that corresponding software can be stored in the storage medium that can read, for example in the hard disk of computer, CD or the floppy disk by software.
The above only is preferred embodiment of the present invention, and is in order to restriction the present invention, within the spirit and principles in the present invention not all, any modification of being done, is equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (14)
1, a kind of method of measuring noise factor is characterized in that, comprising:
Output signal-to-noise ratio when obtaining the error rate that reaches default;
Obtain the input signal power when reaching the described default error rate;
According to spatial noise power, obtain input noise power;
According to described output signal-to-noise ratio, described input signal power and described input noise power, obtain noise factor.
2, the method for measurement noise factor according to claim 1 is characterized in that, described output signal-to-noise ratio when obtaining the error rate that reaches default comprises:
Generate pseudo-random code sequence;
According to described pseudo-random code sequence, produce simulation GMSK (Guassian Minimum Shift Keying) GMSK IQ signal;
The described simulation of demodulation GMSK IQ signal obtains the IQ demodulating data;
According to described pseudo-random code sequence and described IQ demodulating data, obtain the error rate;
Load and the adjusting noise, make the signal to noise ratio between described simulation GMSK IQ signal and the described noise, and the described error rate changes;
When the described error rate reaches the described default error rate, with the simulation GMSK IQ signal of current time and the signal to noise ratio between the described noise as output signal-to-noise ratio.
3, the method for measurement noise factor according to claim 1 is characterized in that, the described input signal power that obtains when reaching the described default error rate comprises:
Generate pseudo-random code sequence;
According to described pseudo-random code sequence, produce GMSK (Guassian Minimum Shift Keying) radio frequency GMSK RF signal;
Described GMSK RF signal frequency conversion is generated simulation GMSK IQ signal;
The described simulation of demodulation GMSK IQ signal obtains the IQ demodulating data;
According to described pseudo-random code sequence and described IQ demodulating data, obtain the error rate;
Regulate the power of described GMSK RF signal, the described error rate is changed;
When the described error rate reaches the described default error rate, with the power of the GMSK RF signal of current time as input signal power.
4, the method for measurement noise factor according to claim 2 is characterized in that, described noise is additive white Gaussian noise AWGN.
According to the method for claim 2 or 3 described measurement noise factors, it is characterized in that 5, described pseudo-random code sequence is the PN9 sign indicating number.
According to the method for claim 2 or 3 described measurement noise factors, it is characterized in that 6, the described default error rate is 2.439%.
7, a kind of system of measuring noise factor is characterized in that, comprising:
The output signal-to-noise ratio acquisition module, the output signal-to-noise ratio when being used to obtain the error rate that reaches default;
The input signal power acquisition module is used to obtain the input signal power when reaching the described default error rate;
Input noise power acquisition module is used for obtaining input noise power according to spatial noise power;
The noise factor acquisition module is used for obtaining noise factor according to described output signal-to-noise ratio, described input signal power and described input noise power.
8, the system of measurement noise factor according to claim 7 is characterized in that, described output signal-to-noise ratio acquisition module comprises:
The pseudo-random code sequence generation unit is used for generating and the output pseudo-random code sequence;
The first GMSK (Guassian Minimum Shift Keying) IQ signal acquiring unit is used for receiving and according to described pseudo-random code sequence, GMSK (Guassian Minimum Shift Keying) GMSK IQ signal is simulated in generation and output;
IQ demodulating data acquiring unit is used for receiving and the described simulation of demodulation GMSK IQ signal, obtains and export the IQ demodulating data;
Error rate acquiring unit is used to receive described IQ demodulating data and described pseudo-random code sequence, according to described pseudo-random code sequence and described IQ demodulating data, obtains the error rate;
First regulon is used for loading and regulating noise, make the signal to noise ratio between described simulation GMSK IQ signal and the described noise, and the described error rate changes;
The output signal-to-noise ratio acquiring unit is used for when described first regulon is regulated described noise and made the described error rate reach the described default error rate, with the signal to noise ratio of the simulation GMSK IQ signal of current time as output signal-to-noise ratio.
9, the system of measurement noise factor according to claim 7 is characterized in that, described input signal power acquisition module comprises:
The pseudo-random code sequence generation unit is used for generating and the output pseudo-random code sequence;
GMSK (Guassian Minimum Shift Keying) radiofrequency signal acquiring unit is used for receiving and according to described pseudo-random code sequence, generation is also exported GMSK (Guassian Minimum Shift Keying) radio frequency GMSK RF signal;
The second GMSK (Guassian Minimum Shift Keying) IQ signal acquiring unit is used for reception and described GMSK RF signal frequency conversion is generated simulation GMSK IQ signal, exports described simulation GMSK IQ signal;
IQ demodulating data acquiring unit is used for receiving and the described simulation of demodulation GMSK IQ signal, obtains and export the IQ demodulating data;
Error rate acquiring unit is used to receive described IQ demodulating data and described pseudo-random code sequence, according to described pseudo-random code sequence and described IQ demodulating data, obtains the error rate;
Second regulon is used to regulate the power of described GMSK RF signal, and the described error rate is changed;
The input signal power acquiring unit is used for when power that described second regulon is regulated described GMSK RF signal makes the described error rate reach the described default error rate, with the power of the GMSK RF signal of current time as input signal power.
10, a kind of system of measuring noise factor is characterized in that, described system comprises:
Signal generating apparatus, signal analysis equipment and signal handling equipment;
Described signal generating apparatus is used to receive and according to first pseudo-random code sequence that described signal handling equipment generates, produces and export the first simulation GMSK (Guassian Minimum Shift Keying) GMSK IQ signal;
Described signal analysis equipment is used for receiving and the described first simulation GMSK IQ signal of demodulation, obtains and export an IQ demodulating data;
Described signal handling equipment, be used for generating and exporting first pseudo-random code sequence, and according to described first pseudo-random code sequence and a described IQ demodulating data, obtain first error rate, and when regulating first noise that is loaded in the described signal generating apparatus, when making described first error rate reach the default error rate, with the signal to noise ratio of described first simulation GMSK IQ signal of current time and described first noise as output signal-to-noise ratio.
11, the system of measurement noise factor according to claim 10 is characterized in that,
Described signal generating apparatus also is used to receive and according to second pseudo-random code sequence that described signal handling equipment generates, produces also output GMSK (Guassian Minimum Shift Keying) radio frequency GMSK RF signal;
Described signal analysis equipment also is used for receiving and the demodulation second simulation GMSK IQ signal, obtains and export the 2nd IQ demodulating data; Wherein, the described second simulation GMSK IQ signal is to be generated by the GMSK RF signal frequency conversion of measured device with the described signal generating apparatus generation of its reception;
Described signal handling equipment, also be used for generating and exporting second pseudo-random code sequence, receive described the 2nd IQ demodulating data, according to described second pseudo-random code sequence and described the 2nd IQ demodulating data, obtain second error rate, and when the power of regulating the GMSK RF signal that described signal generating apparatus produces, when making described second error rate reach the described default error rate, with the power of the GMSK RF signal of current time as input signal power.
12, the system of measurement noise factor according to claim 11 is characterized in that, described system also comprises:
Input noise power obtains equipment, is used for obtaining input noise power according to spatial noise power;
Noise factor obtains equipment, is used for the output signal-to-noise ratio and the input signal power that obtain according to described signal handling equipment, and described input noise power obtains the input noise power that equipment obtains, and obtains noise factor.
13, a kind of output signal-to-noise ratio obtains equipment, it is characterized in that, described output signal-to-noise ratio obtains equipment and comprises:
The pseudo-random code sequence generation unit is used for generating and the output pseudo-random code sequence;
The first GMSK (Guassian Minimum Shift Keying) IQ signal acquiring unit is used for receiving and according to described pseudo-random code sequence, GMSK (Guassian Minimum Shift Keying) GMSK IQ signal is simulated in generation and output;
IQ demodulating data acquiring unit is used for receiving and the described simulation of demodulation GMSK IQ signal, obtains and export the IQ demodulating data;
Error rate acquiring unit is used to receive described IQ demodulating data and described pseudo-random code sequence, according to described pseudo-random code sequence and described IQ demodulating data, obtains the error rate;
First regulon is used for loading and regulating noise, make the signal to noise ratio between described simulation GMSK IQ signal and the described noise, and the described error rate changes;
The output signal-to-noise ratio acquiring unit is used for when described first regulon is regulated described noise and made the described error rate reach the described default error rate, with the signal to noise ratio of the simulation GMSK IQ signal of current time as output signal-to-noise ratio.
14, a kind of input signal power obtains equipment, it is characterized in that, described input signal power obtains equipment and comprises:
The pseudo-random code sequence generation unit is used for generating and the output pseudo-random code sequence;
GMSK (Guassian Minimum Shift Keying) radiofrequency signal acquiring unit is used for receiving and according to described pseudo-random code sequence, generation is also exported GMSK (Guassian Minimum Shift Keying) radio frequency GMSK RF signal;
The second GMSK (Guassian Minimum Shift Keying) IQ signal acquiring unit is used for reception and described GMSK RF signal frequency conversion is generated simulation GMSK IQ signal, exports described simulation GMSK IQ signal;
IQ demodulating data acquiring unit is used for receiving and the described simulation of demodulation GMSK IQ signal, obtains and export the IQ demodulating data;
Error rate acquiring unit is used to receive described IQ demodulating data and described pseudo-random code sequence, according to described pseudo-random code sequence and described IQ demodulating data, obtains the error rate;
Second regulon is used to regulate the power of described GMSK RF signal, and the described error rate is changed;
The input signal power acquiring unit is used for when power that described second regulon is regulated described GMSK RF signal makes the described error rate reach the described default error rate, with the power of the GMSK RF signal of current time as input signal power.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2009101352187A CN101534162B (en) | 2009-04-16 | 2009-04-16 | Method and system for measuring noise coefficient |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2009101352187A CN101534162B (en) | 2009-04-16 | 2009-04-16 | Method and system for measuring noise coefficient |
Publications (2)
Publication Number | Publication Date |
---|---|
CN101534162A true CN101534162A (en) | 2009-09-16 |
CN101534162B CN101534162B (en) | 2013-08-28 |
Family
ID=41104575
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN2009101352187A Expired - Fee Related CN101534162B (en) | 2009-04-16 | 2009-04-16 | Method and system for measuring noise coefficient |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN101534162B (en) |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2011054160A1 (en) * | 2009-11-04 | 2011-05-12 | 工业和信息化部通信计量中心 | Method and system for digital demodulation error parameter measurement based on continuous wave combination approach |
CN105004937A (en) * | 2014-04-24 | 2015-10-28 | 是德科技股份有限公司 | Noise figure measurement using narrowband compensation |
CN105277805A (en) * | 2015-09-14 | 2016-01-27 | 上海新爱季信息技术有限公司 | Noise coefficient auxiliary measuring apparatus |
CN105281830A (en) * | 2015-10-15 | 2016-01-27 | 金陵科技学院 | Method for measuring noise coefficients of phase modulation microwave optical link |
CN110441621A (en) * | 2019-08-19 | 2019-11-12 | 苏州华兴源创科技股份有限公司 | Measurement method, device, equipment and the storage medium of noise coefficient |
CN115412146A (en) * | 2022-07-15 | 2022-11-29 | 航天恒星科技有限公司 | Processing method and device for satellite-based AIS (automatic identification System) signals |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20050232346A1 (en) * | 2004-04-16 | 2005-10-20 | Riggsby Robert R | Device including an equalizer and an amplification chain for broadband integrated circuit applications |
US7177772B2 (en) * | 2004-05-25 | 2007-02-13 | Texas Instruments Incorporated | System and method for generating and measuring noise parameters |
CN100583697C (en) * | 2004-10-10 | 2010-01-20 | 展讯通信(上海)有限公司 | Performance estimating method and system for TD-SCDMA radio frequency system |
CN1770669B (en) * | 2004-11-03 | 2010-11-10 | 展讯通信(上海)有限公司 | Method for monitoring reception part performance of TD-SCDMA RF system |
CN100446608C (en) * | 2007-01-23 | 2008-12-24 | 北京北方烽火科技有限公司 | An independent test method for middle RF unit of the frequent spread receiver |
US20080238441A1 (en) * | 2007-03-30 | 2008-10-02 | Rhymes Richard L | Vector Network Analyzer-Noise Figure Measurement |
CN101242226B (en) * | 2008-03-20 | 2011-07-20 | 北京北方烽火科技有限公司 | A noise coefficient measuring method and device for CDMA receiver |
-
2009
- 2009-04-16 CN CN2009101352187A patent/CN101534162B/en not_active Expired - Fee Related
Cited By (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2011054160A1 (en) * | 2009-11-04 | 2011-05-12 | 工业和信息化部通信计量中心 | Method and system for digital demodulation error parameter measurement based on continuous wave combination approach |
CN101702697B (en) * | 2009-11-04 | 2012-05-23 | 工业和信息化部通信计量中心 | Method and system for metering digital demodulation error parameters based on continuous wave combination method |
CN105004937A (en) * | 2014-04-24 | 2015-10-28 | 是德科技股份有限公司 | Noise figure measurement using narrowband compensation |
CN105004937B (en) * | 2014-04-24 | 2019-11-29 | 是德科技股份有限公司 | Use the noise-figure measurement method of narrow-band compensation |
CN105277805A (en) * | 2015-09-14 | 2016-01-27 | 上海新爱季信息技术有限公司 | Noise coefficient auxiliary measuring apparatus |
CN105277805B (en) * | 2015-09-14 | 2018-10-19 | 上海新爱季信息技术有限公司 | Noise coefficient aided measurement device |
CN105281830A (en) * | 2015-10-15 | 2016-01-27 | 金陵科技学院 | Method for measuring noise coefficients of phase modulation microwave optical link |
CN110441621A (en) * | 2019-08-19 | 2019-11-12 | 苏州华兴源创科技股份有限公司 | Measurement method, device, equipment and the storage medium of noise coefficient |
CN110441621B (en) * | 2019-08-19 | 2022-02-22 | 苏州华兴源创科技股份有限公司 | Method, device, equipment and storage medium for measuring noise coefficient |
CN115412146A (en) * | 2022-07-15 | 2022-11-29 | 航天恒星科技有限公司 | Processing method and device for satellite-based AIS (automatic identification System) signals |
CN115412146B (en) * | 2022-07-15 | 2023-09-29 | 航天恒星科技有限公司 | Star-based AIS signal processing method and device |
Also Published As
Publication number | Publication date |
---|---|
CN101534162B (en) | 2013-08-28 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN101534162B (en) | Method and system for measuring noise coefficient | |
US8718567B2 (en) | Methods for calibrating radio-frequency receivers using code division multiple access test equipment | |
CN101180834B (en) | Method for measuring sensitivity of data packet signal receiver | |
CN102946286B (en) | Method, device and system for controlling detection of equipment | |
CN107566053A (en) | Method and system for testing radio frequency index and computer readable storage medium | |
CN103852714A (en) | Integrated circuit, test equipment and RF testing system | |
EP2781042A1 (en) | Transmit power calibration in a communication system | |
CN105610522A (en) | Detection system and method for universal Beidou radio frequency module | |
CN101986581B (en) | Method and system for automatic gain control calibration of TD-LTE terminal | |
CN110572223B (en) | Calibration method of radio frequency baseband integrated terminal automatic test system | |
RU2011108955A (en) | DEVICE AND METHOD FOR PERFORMING A FUNCTIONAL TEST OF A COMMUNICATION SYSTEM | |
CN102647238A (en) | Telecom energy and frame protocol testing system of information collection wireless downlink channel module | |
CN103840899A (en) | Automatic test device of transceiving assembly | |
CN116032388B (en) | Chip sensitivity test method, system, device, computer equipment and medium | |
CN105897350A (en) | Method and apparatus for testing transmitter chip | |
Betta et al. | Influence of Wi-Fi computer interfaces on measurement apparatuses | |
CN205484818U (en) | Detection apparatus for big dipper satellite receiving and dispatching radio frequency | |
CN108809345B (en) | Vehicle-mounted entertainment system radio signal testing device and method | |
CN112350786B (en) | Calibration method, system, related equipment and medium for radio frequency receiver | |
CN102944797A (en) | Method for measuring coupling degree of antennas | |
CN108040345A (en) | A kind of 4G mobile terminals LTE conducted emission power automated detection systems | |
EP1305643B1 (en) | Signal measurement | |
CN111416675A (en) | Broadband signal spectrum analysis method and device | |
Angrisani et al. | A measurement method based on time-frequency representations for testing GSM equipment | |
CN113933618B (en) | Test device, radio frequency device and detection 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 | ||
C14 | Grant of patent or utility model | ||
GR01 | Patent grant | ||
CF01 | Termination of patent right due to non-payment of annual fee | ||
CF01 | Termination of patent right due to non-payment of annual fee |
Granted publication date: 20130828 Termination date: 20160416 |