摘要
实际应用中,阵列接收数据往往包含目标信号部分,用包含部分目标信号的样本协方差矩阵来代替干扰噪声协方差矩阵会引起很大的误差,尤其当阵列接收快拍数较低时;同时,目标信号往往比较弱,直接对其进行测角会出现一定的角度测量误差,导致目标信号导向矢量出现误差。这两种非理想应用情形会严重恶化算法抗干扰性能。本文提出一种基于稳健斜投影预处理的抗主瓣干扰算法,首先在包含目标信号的接收数据基础上重新构造干扰噪声协方差矩阵,最大程度上减小了目标信号对算法性能的影响;第二,基于重构的干扰噪声协方差矩阵、高精度估计的目标信号导向矢量,联合设计稳健斜投影预处理矩阵来实现对主瓣干扰的有效抑制;最后,对斜投影预处理后的数据进行稳健自适应波束调零实现对旁瓣干扰的抑制。仿真结果表明,本文算法在无主瓣畸变的同时,能有效抑制主瓣干扰和旁瓣干扰,对接收数据中包含目标信号、存在角度误差等非理想情形具有很好的鲁棒性。
In practical applications,the array received data often contains target signal components,using the covariance matrix of the sample including the partial target signal instead of the covariance matrix of the interference noise will cause significant errors,especially when the number of array received snapshots is low.At the same time,the target signal is often weak,and direct angle measurement will result in certain angle measurement errors,leading to errors in the target signal guided vector.These two non-ideal application scenarios will seriously deteriorate the algorithm’s anti-interference performance.This paper proposes an anti-mainlobe interference algorithm based on robust oblique projection preprocessing.Firstly,the interference noise covariance matrix is reconstructed based on the received data including the target signal,to minimize the impact of the target signal on the algorithm performance furthest.Secondly,based on the reconstructed interference noise covariance matrix and the high-precision estimated target steering vector,a robust oblique projection preprocessing matrix is jointly designed to effectively suppress the mainlobe interference.Finally,the data after oblique projection preprocessing is processed by robust adaptive beam nulling to suppress the sidelobe interference.Simulation results show that the proposed algorithm can effectively suppress the mainlobe interference and sidelobe interference while eliminating the mainlobe distortion,and has good robustness to the non-ideal scenarios of the received data,which includes the target signal and exists angle measurement errors.
作者
隋振兴
王铮
袁晓垒
Sui Zhenxing;Wang Zheng;Yuan Xiaolei(China Airborne Missile Academy,Luoyang 471009,China;National Key Laboratory of Air-based Information Perception and Fusion,Luoyang 471009,China)
出处
《航空兵器》
北大核心
2025年第2期74-79,共6页
Aero Weaponry
基金
航空科学基金项目(2020Z037012004)。
关键词
主瓣干扰
稳健斜投影
协方差矩阵重构
自适应波束形成
目标信号导向矢量估计
mainlobe interference
robust oblique projection
covariance matrix reconstruction
adaptive beamforming
target signal guided vector estimation
