CN103716267A - Broadband signal space diversity synthesis method - Google Patents

Broadband signal space diversity synthesis method Download PDF

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CN103716267A
CN103716267A CN201210375429.XA CN201210375429A CN103716267A CN 103716267 A CN103716267 A CN 103716267A CN 201210375429 A CN201210375429 A CN 201210375429A CN 103716267 A CN103716267 A CN 103716267A
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signal
noise ratio
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broadband signal
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CN103716267B (en
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高超垒
魏耀都
战勇杰
宋振宇
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Space Star Technology Co Ltd
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Abstract

The invention discloses a broadband signal space diversity synthesis method. According to the invention, a synthesis gain method based on a weighted value algorithm is adopted, the correlation among channels of signals and mutual independence among channels of signal noises are utilized, the noise power of the channel of signals with the highest signal-to-noise ratio is taken as the benchmark, and a weighted value is taken to enable the channels of signals to be consistent in noise power so as to obtain a synthetic signal. By the adoption of the method, the signal-to-noise ratio can be estimated and the signal weighted value can be updated in real time, the complexity of signal weighted value operation is simplified, and the data processing speed is improved. Therefore, the algorithm is more suitable for situations with high data rate. As synthesis is carried out after broadband signal demodulation and before decision, the signal-to-noise ratio of a received signal can be effectively improved, the aperture of a single receiving antenna can be reduced, and the reliability of a received signal can be improved.

Description

A kind of broadband signal space diversity synthetic method
Technical field
The present invention relates to a kind of broadband signal space diversity synthetic method, relate in particular to a kind of broadband signal space diversity synthetic method for space communication, belong to communication technical field.
Background technology
The space diversity synthetic technology key technology of broadband signal is the synthetic method of multiple signals, the Signal Corps Engineering laboratory of the U.S. and Washington university have proposed several diversity reception modes such as space diversity, polarization diversity, frequency diversity in nineteen fifty-one, owing to working as computer-chronograph and digital circuit, be not also born, so diversity technique at that time has significant limitation, diversity at that time is just carried out in radio band and Mid Frequency, and is the broadcast communication system for ground.But proposed at that time space diversity, be to utilize field intensity to realize with the change at random in space, space length is larger, and the difference of multipath transmisstion is just larger, and the correlation of institute's received field strength is just less.Distance between two slave antennas should be greater than certain value just can make the correlation of two path channels less, to guarantee good diversity.But because the limitation of technology at that time merges two paths of signals after can only finely tuning the phase place of two paths of signals by analog circuit.Along with the develop rapidly of computer technology and digital circuit technique in recent decades, current diversity folding can also can be carried out in base band at radio band, Mid Frequency.
Ryszard J.Katulski has proposed the expression-form of three kinds of diversity gains: select to merge gain, equal gain combining gain, high specific merging gain.The signal that wherein equal gain combining is about to each passage merges with same weights, can not reduce to greatest extent noise power; Selection combination is selected the signal of signal to noise ratio maximum and is directly exported, and does not utilize the useful signal of the passage that signal to noise ratio is lower; The synthetic gain of high specific often adopts LMS scheduling algorithm, even if utilize the noise power of LMS algorithm output minimum, algorithm is more complicated, and this algorithm need to have the process of convergence, and convergence rate can be subject to the impact of initial value and step value.Xing-Peng, Mao Jon utilizes relevant detection to draw with high specific folding with W.Mark: average SNR is relevant with estimation phase place, and irrelevant with amplitude, folding can only obtain diversity gain, and the gain that polarization itself brings is obtained by polarization vector itself.Ning Kong has proposed generalized selection combining in to the research of polarization diversity, and this upper limit that merges mode is that high specific merges, and lower limit is that traditional selection merges.
Summary of the invention
Technology of the present invention is dealt with problems and is: overcome the deficiencies in the prior art, a kind of broadband signal space diversity synthetic method is provided, simplified the complexity of signal weighting value computing, and improved arithmetic speed.
Technical solution of the present invention is: a kind of broadband signal space diversity synthetic method, and step is as follows:
(1) first in FPGA, set 2~4 passages as the synthetic input channel of signal, each passage configures respectively a signal-to-noise ratio (SNR) estimation module, and establishes the initial weighting coefficients W of each passage ibe 1, i=2~4:
(2) broadband signal after bit synchronization and time difference elimination enters in the input channel of step (1) setting, each signal-to-noise ratio (SNR) estimation module gathers the broadband signal of input respectively, when collecting the frame length value that the frame length of broadband signal equals to set, each signal-to-noise ratio (SNR) estimation module is carried out signal-to-noise ratio (SNR) estimation computing to the broadband signal gathering respectively, and the result of signal-to-noise ratio (SNR) estimation computing is sent into weights computing module;
(3) weights computing module is using the broadband signal of signal to noise ratio maximum as benchmark, the weight coefficient W to each passage ire-start computing so that the noise power of all band signals of having a lot of social connections is identical, wherein the weight coefficient of the broadband signal respective channel of signal to noise ratio maximum is 1;
(4) the weight coefficient W of each passage of real-time update i, each channel width band signal by signal synthesizing module after to weighting synthesizes output.
The method that step (2) is carried out signal-to-noise ratio (SNR) estimation computing to the broadband signal gathering is:
If the broadband signal X of input l(n) be: X l(n)=S l(n)+N i(n), S wherein l(n) be the valid data of the band signal of respectively having a lot of social connections, N l(n) be the white Gaussian noise of the band signal of respectively having a lot of social connections, i=2~4;
(1) by the valid data S of the band signal of respectively having a lot of social connections l(n) divide, separate and be greater than the minus valid data of zero-sum, for being greater than the minus valid data of zero-sum, obtain respectively its average Ei and variance
Figure BSA00000785235600021
(2) utilize
Figure BSA00000785235600022
obtain respectively and be greater than the signal to noise ratio that zero-sum is less than zero valid data;
(3) signal to noise ratio that zero-sum is less than zero valid data that is greater than step (2) being obtained is averaging computing, obtains the signal to noise ratio of each band signal of having a lot of social connections.
The weight coefficient W of step (3) to each passage ithe method that re-starts computing is: utilize
Figure BSA00000785235600031
calculate the weight coefficient W of each passage i, wherein for the valid data variance of the broadband signal of signal to noise ratio maximum,
Figure BSA00000785235600033
for the valid data variance of the band signal of respectively having a lot of social connections, the weight coefficient W of the broadband signal respective channel of signal to noise ratio maximum ibe 1, i=2~4.
The present invention's beneficial effect is compared with prior art: compare equal gain combining, selection combination and high specific are synthetic, the present invention adopts the synthetic gain method based on Weights-selected Algorithm, utilize the mutual independence of the correlation He Ge road signal noise between each road signal, the noise power of the maximum Na of the signal to noise ratio of take road signal is benchmark, the noise power of getting weighted value Ling Ge road signal is consistent, thereby acquisition composite signal, the method is estimated snr update signal weighted value in real time, simplified the complexity of signal weighting value computing, thereby improved the processing speed of data, therefore this algorithm is more adapted to the situation of higher data rate.The present invention, owing to being carry out before judgement after broadband signal demodulation synthetic, can effectively improve the signal to noise ratio that receives signal, can reduce the bore of single receive antenna simultaneously, improves the reliability that receives signal.
Accompanying drawing explanation
Fig. 1 is the schematic diagram of realizing of the present invention.
Embodiment
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is further described in detail.
When a certain satellite is carried out to space communication, terrestrial channel adopts a plurality of antennas to receive conventionally, is generally 2 to 4, and it is also separate between each channel signal, having very strong correlation, noise.
As shown in Figure 1, the specific implementation step of the method is as follows:
(1) first in FPGA, set 2~4 passages as the synthetic input channel of signal, each passage configures respectively a signal-to-noise ratio (SNR) estimation module, and establishes the initial weighting coefficients W of each passage ibe 1, i=2~4:
(2) broadband signal after bit synchronization and time difference elimination (this broadband signal is the baseband signal through demodulation output) enters in the input channel of step (1) setting, each signal-to-noise ratio (SNR) estimation module gathers the broadband signal of input respectively, when collecting the frame length value that the frame length of broadband signal equals to set, each signal-to-noise ratio (SNR) estimation module is carried out signal-to-noise ratio (SNR) estimation computing to the broadband signal gathering respectively, and the result of signal-to-noise ratio (SNR) estimation computing is sent into weights computing module;
(3) weights computing module is using the broadband signal of signal to noise ratio maximum as benchmark, the weight coefficient Wi of each passage is re-started to computing so that the noise power of all band signals of having a lot of social connections is identical, and wherein the weight coefficient of the broadband signal respective channel of signal to noise ratio maximum is 1; Utilize the noise power of the noise power He Ge road signal of the maximum signal to noise ratio broadband signal obtaining in step (2), the band signal of respectively having a lot of social connections is carried out to convergent-divergent, its noise power is equal to benchmark, can calculate the weighted value W of each road signal i.
(4) the weight coefficient W of each passage of real-time update i, each channel width band signal by signal synthesizing module after to weighting synthesizes output.
The method that step (2) is carried out signal-to-noise ratio (SNR) estimation computing to the broadband signal gathering is:
If the broadband signal X of input i(n) be: X i(n)=S i(n)+N l(n), S wherein i(n) be the valid data of the band signal of respectively having a lot of social connections, N i(n) be the white Gaussian noise of the band signal of respectively having a lot of social connections, i=2~4;
(1) by the valid data S of the band signal of respectively having a lot of social connections i(n) divide, separate and be greater than the minus valid data of zero-sum, for being greater than the minus valid data of zero-sum, obtain respectively its average E iand variance
Figure BSA00000785235600041
(2) utilize obtain respectively and be greater than the signal to noise ratio that zero-sum is less than zero valid data;
(3) signal to noise ratio that zero-sum is less than zero valid data that is greater than step (2) being obtained is averaging computing, obtains the signal to noise ratio of each band signal of having a lot of social connections.Ask simultaneously
Figure BSA00000785235600043
mean value, calculate the variance of the signal of respectively having a lot of social connections, be noise power.
The weight coefficient W of step (3) to each passage ithe method that re-starts computing is: utilize
Figure BSA00000785235600044
calculate the weight coefficient W of each passage l, the variance (being noise power) of the band signal that namely makes respectively to have a lot of social connections equals the variance (noise power) of the broadband signal of signal to noise ratio maximum, wherein
Figure BSA00000785235600045
for the valid data variance of the broadband signal of signal to noise ratio maximum, for the valid data variance of the band signal of respectively having a lot of social connections, the weight coefficient W of the broadband signal respective channel of signal to noise ratio maximum ibe 1, i=2~4.
Adopt the signal to noise ratio (SNR) of the method calculating multichannel input signal of statistical signal average and variance, according to the SNR obtaining, find out the signal of SNR maximum, with its noise power, make benchmark, making its weight coefficient is 1; Dui Ge road signal carries out convergent-divergent, makes its noise power equal the noise power of the signal of signal to noise ratio maximum, according to the mutual independence of the correlation of signal and noise, calculates the weighted value W of other each road signals i.
With two width antenna reception same road satellite-signals and synthesize example, two paths of signals successively after carrier synchronization, bit synchronization, the time difference eliminate, and then is realized synthetic to broadband signal through signal-to-noise ratio (SNR) estimation of the present invention and weights computing.Wherein bit synchronization adopts the method for interpolation loop, and the time difference estimates to adopt computing cross-correlation, the signal after synchronous is carried out to signal-to-noise ratio (SNR) estimation and calculates its weights, finally synthetic output.
The content not being described in detail in specification of the present invention belongs to the known technology of this area.

Claims (3)

1. a broadband signal space diversity synthetic method, is characterized in that step is as follows:
(1) first in FPGA, set 2~4 passages as the synthetic input channel of signal, each passage configures respectively a signal-to-noise ratio (SNR) estimation module, and establishes the initial weighting coefficients W of each passage ibe 1, i=2~4:
(2) broadband signal after bit synchronization and time difference elimination enters in the input channel of step (1) setting, each signal-to-noise ratio (SNR) estimation module gathers the broadband signal of input respectively, when collecting the frame length value that the frame length of broadband signal equals to set, each signal-to-noise ratio (SNR) estimation module is carried out signal-to-noise ratio (SNR) estimation computing to the broadband signal gathering respectively, and the result of signal-to-noise ratio (SNR) estimation computing is sent into weights computing module;
(3) weights computing module is using the broadband signal of signal to noise ratio maximum as benchmark, the weight coefficient W to each passage lre-start computing so that the noise power of all band signals of having a lot of social connections is identical, wherein the weight coefficient of the broadband signal respective channel of signal to noise ratio maximum is 1;
(4) the weight coefficient W of each passage of real-time update i, each channel width band signal by signal synthesizing module after to weighting synthesizes output.
2. a kind of broadband signal space diversity carpool method according to claim 1, is characterized in that: the described method that the broadband signal gathering is carried out to signal-to-noise ratio (SNR) estimation computing is:
If the broadband signal X of input l(n) be: X i(n)=S i(n)+N i(n), S wherein i(n) be the valid data of the band signal of respectively having a lot of social connections, N l(n) be the white Gaussian noise of the band signal of respectively having a lot of social connections, i=2~4;
(1) by the valid data S of the band signal of respectively having a lot of social connections l(n) divide, separate and be greater than the minus valid data of zero-sum, for being greater than the minus valid data of zero-sum, obtain respectively its average E iand variance
Figure FSA00000785235500011
(2) utilize
Figure FSA00000785235500012
obtain respectively and be greater than the signal to noise ratio that zero-sum is less than zero valid data;
(3) signal to noise ratio that zero-sum is less than zero valid data that is greater than step (2) being obtained is averaging computing, obtains the signal to noise ratio of each band signal of having a lot of social connections.
3. a kind of broadband signal space diversity carpool method according to claim 2, is characterized in that: the described weight coefficient W to each passage ithe method that re-starts computing is: utilize calculate the weight coefficient W of each passage i, wherein for the valid data variance of the broadband signal of signal to noise ratio maximum,
Figure FSA00000785235500023
for the valid data variance of the band signal of respectively having a lot of social connections, the weight coefficient W of the broadband signal respective channel of signal to noise ratio maximum ibe 1, i=2~4.
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Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016177108A1 (en) * 2015-10-19 2016-11-10 中兴通讯股份有限公司 Antenna merging method and apparatus
CN106656882A (en) * 2016-11-29 2017-05-10 中国科学院声学研究所 Signal synthesizing method and system
CN106973023A (en) * 2017-02-14 2017-07-21 中国科学院声学研究所 A kind of signal synthesis method and system
CN110444228A (en) * 2019-07-03 2019-11-12 深圳华海尖兵科技有限公司 A kind of short-wave reception method and system

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Publication number Priority date Publication date Assignee Title
CN101359954A (en) * 2007-08-03 2009-02-04 华为技术有限公司 Demodulation method and apparatus, balancing method and system under diversity mode
CN101888264A (en) * 2009-05-12 2010-11-17 中兴通讯股份有限公司 Analytical method and receiving device of transmitted diversity signals
CN102035584A (en) * 2009-09-29 2011-04-27 华为技术有限公司 Method for determining uplink transmission diversity mode and communication device

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Publication number Priority date Publication date Assignee Title
CN101359954A (en) * 2007-08-03 2009-02-04 华为技术有限公司 Demodulation method and apparatus, balancing method and system under diversity mode
CN101888264A (en) * 2009-05-12 2010-11-17 中兴通讯股份有限公司 Analytical method and receiving device of transmitted diversity signals
CN102035584A (en) * 2009-09-29 2011-04-27 华为技术有限公司 Method for determining uplink transmission diversity mode and communication device

Cited By (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2016177108A1 (en) * 2015-10-19 2016-11-10 中兴通讯股份有限公司 Antenna merging method and apparatus
CN106656882A (en) * 2016-11-29 2017-05-10 中国科学院声学研究所 Signal synthesizing method and system
CN106656882B (en) * 2016-11-29 2019-05-10 中国科学院声学研究所 A kind of signal synthesis method and system
CN106973023A (en) * 2017-02-14 2017-07-21 中国科学院声学研究所 A kind of signal synthesis method and system
CN106973023B (en) * 2017-02-14 2019-10-01 中国科学院声学研究所 A kind of signal synthesis method and system
CN110444228A (en) * 2019-07-03 2019-11-12 深圳华海尖兵科技有限公司 A kind of short-wave reception method and system
CN110444228B (en) * 2019-07-03 2021-07-13 深圳华海尖兵科技有限公司 Short wave receiving method and system

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