基于特征向量空间重构的方向图保形算法  

A Mainlobe Maintenance Algorithm Based on Eigenvector Space Reconstruction

作　　者：陈子昂 杨嘉伟[2] 魏晓磊 陶琛琛 CHEN Ziang;YANG Jiawei;WEI Xiaolei;TAO Chenchen(Beijing Institute of Remote Sensing Equipment,Beijing 100854 China;China Aerospace Defense Technology Institute,Beijing 100854 China;Rocket Armament Department,Beijing 100085 China)

机构地区：[1]北京遥感设备研究所,北京100854 [2]中国航天科工防御技术研究院,北京100854 [3]火箭军装备部,北京100085

出　　处：《电光与控制》2021年第3期51-55,共5页Electronics Optics & Control

摘　　要：采用特征投影的方法可以实现方向图在主瓣上保形同时抑制旁瓣干扰,但当主瓣干扰强度与旁瓣干扰信号强度相当时,该算法的性能显著降低。针对这一问题,提出了一种主瓣干扰特征向量空间重构的方法,来实现主瓣保形并且抑制旁瓣干扰,对强主瓣干扰与弱主瓣干扰采用不同的方式计算其特征向量并共同构建主瓣干扰特征向量空间,再采用特征投影的方式对协方差矩阵预处理,并根据MVDR准则计算自适应权值。仿真验证了在同时存在强主瓣干扰与弱主瓣干扰时,该方式能有效地在旁瓣干扰处产生零深且主瓣方向保形。The eigen-projection matrix processing algorithm can be used to maintain the mainlobe pattern while suppressing sidelobe interference.However the performance is significantly reduced in the situation that the power of the mainlobe interference is on the same level as the sidelobe jamming.In order to solve this problem a new method is proposed by reconstructing the mainlobe interference eigenvector space.Different methods are used for calculating the eigenvectors corresponding to the strong and weak mainlobe interferences which jointly construct the mainlobe interference eigenvector space.Then the covariance matrix is pre-processed by the eigen-projection matrix and the adaptive weight vector is calculated according to the MVDR criterion.Simulation result shows that:the algorithm effectively maintain the mainlobe pattern while suppressing sidelobe interference when there are both strong and weak mainlobe interferences.

关 键 词：主瓣干扰 特征投影预处理 主瓣保形 自适应波束形成 

分 类 号：TN958[电子电信—信号与信息处理]