A Space-Time Domain Adaptive Wide Linear Reduced Rank Beamforming Method

A space-time domain, wide linear technology, applied in the field of space-time domain adaptive wide linear reduced rank beamforming, can solve the problems of large output signal-to-interference noise ratio, algorithm performance degradation, large array degree of freedom, etc., and achieve output SINR increase. Large, reduced complexity, low complexity effects

Active Publication Date: 2021-05-25
成都电科慧安科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to solve the above-mentioned problems existing in the prior art, and provide a space-time domain adaptive wide linear reduced-rank beamforming method. The present invention can solve the problem when the DOA of the desired signal changes or the desired signal is a frequency hopping signal. , the performance of the algorithm in the existing method will decrease, it can ensure that the gain in the direction of the desired signal remains unchanged, and has a high convergence speed, low algorithm complexity, a large output signal-to-interference-noise ratio and a comparative degrees of freedom for large arrays

Method used

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  • A Space-Time Domain Adaptive Wide Linear Reduced Rank Beamforming Method

Examples

Experimental program
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Effect test

Embodiment 1

[0130] Embodiment 1: the DOA of the desired signal is (10°, 5°), and the signal-to-noise ratio (signal-to-noise ratio, SNR) is 20dB; the DOA of the 5 interfering signals are respectively (-40°, 10°), (-20°, 46°), (5°, 130°), (35°, 149°), (60°, 70°), the signal-to-interference ratio (SIR) is 10dB; all The center frequencies of the signals are 15.48MHz, 15.28MHz, 12.58MHz, 17.48MHz, 15.98MHz, and 16.98MHz; the step factor of the algorithm is u t =0.002, u w = 0.0002, for 500 independent experiments, we get Figure 4 The output SINR variation curves of the two algorithms are shown.

[0131] It can be seen from the simulation results that when the DOA of the desired signal does not change and the desired signal is not a frequency hopping signal, that is, when the space-time domain steering vector of the desired signal does not change, the results obtained by the two algorithms are basically consistent, which is consistent with the theoretical The derived results are the same. ...

Embodiment 2

[0132] Example 2: The initial DOA of the expected signal is (15°, 5°), which changes uniformly from (15°, 5°) to (25°, 20°) when the number of snapshots is 1000-1500 , the DOA kept unchanged after 1500 snapshots is (25°, 20°), SNR=20dB, and the center frequency is 15.48MHz; the DOA of the five interfering signals are (-40°, 10°), (-20° ,46°), (5°,130°), (35°,149°), (60°,70°), SIR=10dB, center frequencies are 15.28MHz, 12.58MHz, 17.48MHz, 15.98MHz, 16.98 MHz; the step factor u of the algorithm t =0.002, u w = 0.0002, for 1000 independent experiments, we get as Figure 5 shown in the output SINR variation curve and Image 6 The gain change curve shown.

[0133] It can be seen from the simulation diagram that the output SINR of the JIO-WLCMV SG algorithm will decrease when the DOA of the desired signal changes, and the gain in the direction of the desired signal cannot remain unchanged, while the algorithm proposed by the present invention will not change when the DOA of the ...

Embodiment 3

[0134] Embodiment 3: the DOA of the desired signal is (15°, 5°), SNR=20dB, when the number of snapshots n1500, the center frequency of the desired signal is 15.48MHz, when the number of snapshots is 1000≤n When ≤1500, every 100 snapshots the desired signal carrier frequency jumps once, and the center frequency jumps to 12.38MHz, 17.98MHz, 13.98MHz, 16.28MHz, 15.18MHz in turn; the DOA of the interference signal is (-40°, 10°) , SIR=10dB, the center frequency is 15.28MHz; the step factor u of the algorithm t =0.002, u w = 0.0002, for 500 independent experiments, we get Figure 7 The gain change curve shown.

[0135] It can be seen from the simulation results that when the desired signal is a frequency hopping signal, the JIO-WLCMV SG algorithm cannot guarantee that the gain in the direction of the desired signal remains 1, but the algorithm proposed by the present invention can keep the gain of the desired signal constant.

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Abstract

The invention discloses a space-time domain self-adaptive wide linear rank-reduced beamforming method, which includes calculating the space-time domain steering vector, estimating the space-time domain steering vector of the expected signal of the next snapshot, calculating the array receiving signal, and obtaining the array output signal 1. Substituting the transformation matrix and the initial value of the weight vector into the iterative joint formula to solve the optimal weight vector is a total of five steps. The method proposed by the present invention can solve the problem that the performance of the existing algorithm will decline when the DOA of the desired signal changes or the desired signal is a frequency hopping signal, and it can ensure that the gain in the direction of the desired signal remains unchanged, and has a high Convergence speed, lower algorithm complexity, larger output SINR and larger array degrees of freedom.

Description

technical field [0001] The invention belongs to the field of array signal processing, and in particular relates to a space-time domain self-adaptive wide linear reduced-rank beamforming method. Background technique [0002] There are many branches of array signal processing. Adaptive beamforming is an important research content. It uses sensor arrays to collect signals, and then adjusts the weighting coefficients of the array accordingly to achieve optimal reception of desired signals and interference signals. effective suppression. Adaptive beamforming technology has very important research significance because it can automatically adjust the filter weight vector with the change of signal and environment, so that the desired signal can be output without distortion, and at the same time, a zero point can be formed in the interference direction. [0003] The traditional algorithm based on Minimum Variance Distortionless Response (MVDR) needs to calculate the inverse of the a...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B1/713H04B7/06H04B7/08
CPCH04B1/713H04B7/0617H04B7/0897
Inventor 殷光强屈世伟方惠
Owner 成都电科慧安科技有限公司
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