现代电子技术2026，Vol.49Issue(19)：67-74,8.DOI:10.16652/j.issn.1004-373X.2026.19.010
基于混合策略优化粒子群的阵列天线干扰抑制算法
Hybrid-strategy enhanced particle swarm optimization for array antenna interference suppression
翟一龙 1杨峰 1肖玉林1
作者信息
- 1. 中国电子科技集团公司第二十九研究所,四川 成都 610036
- 折叠
摘要
Abstract
In view of the unsatisfactory interference suppression performance of the traditional linearly constrained minimum variance(LCMV)beamforming under low snapshots and coherent source conditions,this paper proposes an improved particle swarm optimization(PSO)algorithm.In this method,the weight vector is optimized by constructing an anti-interference fitness function,and multiple hybrid strategies are introduced to enhance global optimization capability and convergence speed.Simulations demonstrate that the proposed algorithm exhibits precise convergence and maintains robust anti-interference performance even under low snapshot conditions,effectively suppressing both coherent and broadband interference signals.In comparison with the conventional algorithms,the proposed algorithm achieves significant performance improvement in the aforementioned interference scenarios.The nonlinear weight optimization in interference suppression can be realized effectively.关键词
阵列信号处理/空时联合/粒子群优化算法/遗传算法/相干信源/宽带干扰抑制/混合策略Key words
array signal processing/spatiotemporal processing/PSO algorithm/genetic algorithm/coherent source/broadband interference suppression/hybrid strategy分类
信息技术与安全科学引用本文复制引用
翟一龙,杨峰,肖玉林..基于混合策略优化粒子群的阵列天线干扰抑制算法[J].现代电子技术,2026,49(19):67-74,8.
