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

摘要/Abstract

摘要：

针对雷达主瓣干扰抑制问题, 提出一种基于信干噪比(signal to interference plus noise ratio, SINR)最大化的盲提取主瓣干扰抑制方法。与盲分离不同, 盲提取能够从多路混合信号中提取出感兴趣的一路分量, 这更适合在多信源多通道的复杂电磁环境下进行干扰抑制。该方法在混合信号距离域建立SINR最大化的优化模型, 采用粒子群优化(particle swarm optimization, PSO)算法进行求解并提取出目标回波信号实现主瓣干扰抑制。经仿真测试, 该方法相较于传统的盲分离干扰抑制方法, 提升了干扰抑制效果; 无需信源数目估计, 对通道数目要求更低, 在欠定场景中依然适用; 减小了计算复杂度, 更适用于复杂电磁环境。

关键词: 雷达抗干扰, 主瓣干扰抑制, 盲提取, 粒子群优化算法

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

中图分类号:

TN974

于雷, 刘一品, 位寅生. 基于信干噪比最大化的盲提取抗主瓣干扰方法[J]. 系统工程与电子技术, 2024, 46(9): 2968-2979.

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.

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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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