基于特征投影预处理抗主瓣干扰的改进算法  

Improved algorithm for anti-mainlobe interference based on eigen-projection preprocessing

作　　者：王一同 李文兴[1] 杨彬 Wang Yitong;Li Wenxing;Yang Bin(College of Information and Communications Engineering,Harbin Engineering University,Harbin 150000,China;College of Cyberspace,Hangzhou Dianzi University,Hangzhou 310018,China)

机构地区：[1]哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150000 [2]杭州电子科技大学网络空间安全学院,浙江杭州310018

出　　处：《电子技术应用》2023年第10期135-140,共6页Application of Electronic Technique

摘　　要：针对基于特征投影预处理后旁瓣干扰偏移的问题,提出一种基于特征投影预处理和协方差矩阵修正重构的主瓣干扰抑制算法。该方法首先通过最大相关系数法确定特征投影矩阵,对接收数据进行预处理充分去除主瓣干扰,然后对主瓣干扰信号功率置零,重新构造旁瓣干扰加噪声协方差矩阵,进一步进行波束形成,方向图在偏移旁瓣干扰处形成较深的零陷。仿真实验表明,提出的方法在接收数据含有期望信号的条件下能够有效地抑制主瓣干扰和旁瓣干扰,并且具有良好的稳健性。When the eigen-projection matrix preprocessing algorithms suppress the mainlobe interference,the sidelobe interferences will shift after preprocessing and the output performance is seriously degraded.To solve this problem,the mainlobe interference suppression algorithm based on eigen-projection preprocessing and reconstruction of modified covariance matrix is proposed.The method makes use of eigen-projection to remove the mainlobe interference in the received data.Then modified sidelobe interference plus noise covariance matrix(SINCM)is constructed for further beamforming after the power of the mainlobe interference is replaced by zero.The method eliminates the effect of mainlobe interference to the adaptive weight vector.And the beam pattern forms deep nulls at deviation positions of sidelobe interferences.Simulation results show that the proposed method can effectively suppress the mainlobe interference and sidelobe interferences when the training data contains the signal of interest(SOI),and it has good robustness.

关 键 词：特征投影预处理 主瓣干扰 协方差矩阵 波束形成 

分 类 号：TN911.7[电子电信—通信与信息系统]