基于信干噪比最大化的盲提取抗主瓣干扰方法

doi:10.12305/j.issn.1001-506X.2024.09.09

Abstract

Abstract:

Regarding the suppression of radar mainlobe jamming, a blind extraction method for suppressing mainlobe jamming based on maximizing the signal to interference plus noise ratio (SINR) is proposed. Unlike blind separation, blind extraction can extract interested components from multiple mixed signals, making it more suitable for jamming suppression in complex electromagnetic environments with multiple sources and channels. This method establishes an optimization model for maximizing SINR in the distance domain. The target echo signal is solved and extracted using the particle swarm optimization (PSO) algorithm to achieve mainlobe jamming suppression. Simulation testing shows that the proposed method improves the jamming suppression effect compared to traditional blind separation jamming suppression methods. It does not require estimation of the number of sources and has lower requirements for the number of channels, making it applicable in underdetermined scenarios. Additionally, it reduces computational complexity, making it more suitable for complex electromagnetic environments.

Key words: radar anti-jamming, mainlobe jamming suppression, blind extraction, particle swarm optimization (PSO) algorithm

CLC Number:

TN974

Lei YU, Yipin LIU, Yinsheng WEI. Anti-mainlobe jamming method via blind extraction based on maximizing SINR[J]. Systems Engineering and Electronics, 2024, 46(9): 2968-2979.

Figures/Tables 19

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参数	数值
脉冲重复周期T_r/μs	20
脉冲宽度T/μs	5
带宽B/MHz	40
载频f₀/GHz	3
阵元数目M	16
阵元间距d/m	0.05

场景1	场景2	方位角/(°)
噪声调频阻塞干扰1	密集假目标干扰1	-3
噪声调频阻塞干扰2	密集假目标干扰2	-2
目标回波	目标回波	0
噪声调幅瞄准干扰	间歇采样转发干扰	1

参数	数值
种群数目	50
最大迭代次数	50
惯性权重范围	[0.2, 1]
自我学习因子范围	[1, 2]
群体学习因子范围	[1, 2]
收敛判决因子	30
粒子位置范围	[-1, 1]
粒子速度范围	[-0.1, 0.1]

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Anti-mainlobe jamming method via blind extraction based on maximizing SINR

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