复杂干扰场景下的稳健自适应波束形成

doi:10.12305/j.issn.1001-506X.2023.04.01

Abstract

Abstract:

In a complex electromagnetic environment, the output signal to interference plus noise ratio of the minimum variance distortionless response beamformer and the interference-plus-noise covariance matrix reconstruction beamformer decrease a lot. To solve this problem, a robust adaptive beamforming algorithm based on the uniform circular array (UCA) is proposed. The proposed algorithm constructs and improves the interference suppression matrix based on the spectral function obtained by the sparse reconstruction technique to produce wide null at the interference direction, which effectively improves the stability of the algorithm. Considering the high sidelobes level and spatial non-uniform sampling in UCA, the second-order constrained optimization criterion is adopted to suppress the UCA sidelobes, so that the proposed algorithm has low sidelobes while effectively suppressing interferences. When the radius of the UCA is selected appropriately, the performance of the proposed algorithm is comparable to that of the optimal beamformer. The effectiveness of the proposed algorithm is verified through simulations.

Key words: adaptive beamforming, uniform circular array (UCA), interference suppression, signal to interference plus noise ratio (SINR), wide null

CLC Number:

TN959.73

Ji SHEN, Xianrong WAN, Jianxin YI, Yan LIU, Feng CHENG. Robust adaptive beamforming in complex interference scenarios[J]. Systems Engineering and Electronics, 2023, 45(4): 941-949.

Figures/Tables 5

References 16

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信号	参数
信号	SNR/dB	方位角/(°)
s₁	40	180
s₂	30	15
g₁	55	60
g₂	40	120
g₃	30	235
e₁	40	280
e₂	35	330

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Robust adaptive beamforming in complex interference scenarios

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