一种改进的盲源分离抗主瓣干扰方法
An Improved Method for Jamming Supression Based on Blind Source Separation
张孟达 1余颖菲1
作者信息
- 1. 中国电子科技集团公司第三十八研究所 合肥 230031;孔径阵列与空间探测安徽重点实验室 合肥 230031
- 折叠
摘要
在主瓣干扰场景下,由于常规自适应空域滤波的方法效果不佳,雷达常采用盲源分离抗主瓣干扰.但是,盲源分离后的信号难以估计目标角度.本文针对盲源分离后目标测角误差较大的问题,提出了一种改进方法,既能有效分离目标和干扰,又能准确估计目标角度.该方法对天线阵面进行非规则子阵划分,先对每个子阵进行波束域盲源分离,再对分离出的目标信号进行空间谱估计.本文分别采用JADE算法和MUSIC算法进行盲源分离和空间谱估计,测角性能受干扰功率影响较小,测角精度高.仿真结果证明了该方法的有效性和可行性.
Abstract
In the main-lobe jamming case,blind source separation is often used to suppress main-lobe jamming be-cause the adaptive spatial filtering is not effective.But angle measurement error is large after blind source separa-tion.In this paper,an improved method was proposed;it can not only separate target from interference effectively,but also estimate target angle accurately.This method divided the antenna array into irregular subarrays.Each sub-array signal was separated by beam-domain blind source separation,and then use spatial spectrum estimation to measure target angle.JADE algorithm and MUSIC algorithm were adopted in this paper.The angle measurement re-sults were less affected by the interference,and the angle measurement accuracy was high.The simulation results showed that this method was feasible and effective.
关键词
主瓣干扰/盲源分离/空间谱估计/测角Key words
main-lobe jamming/blind source separation/spatial spectrum estimation/angle measurement引用本文复制引用
出版年
2024
NETL
NSTL
万方数据