基于嵌套极化敏感阵列稀疏表示的DOA估计算法  

DOA Estimation Algorithm Based on Sparse Representation of Polarization Sensitive Nested Arrays

作　　者：刘俊 沈志博 朱全江 王浩丞 LIU Jun;SHEN Zhibo;ZHU Quanjiang;WANG Haocheng(Science and Technology on Electronic Information Control Laboratory,Chengdu 610036,China)

机构地区：[1]电子信息控制重点实验室,成都610036

出　　处：《电子信息对抗技术》2021年第4期27-31,共5页Electronic Information Warfare Technology

摘　　要：针对任意极化信号的DOA估计问题,提出一种基于嵌套极化敏感阵列稀疏表示的DOA估计算法。该算法首先向量化极化敏感阵列接收数据协方差矩阵,然后建立角度-极化联合冗余字典,对信号进行稀疏表示,最后通过稀疏分解得到信号的DOA估计。相对于传统算法,该算法能够在欠定条件下实现多个极化未知信号的DOA估计,且具有较高的估计精度。仿真结果验证该算法的正确性与有效性。For the problem of DOA estimation of the arbitrary polarization signal,a DOA estimation algorithm based on sparse representation of polarization sensitive nested arrays is proposed.Firstly,the received data covariance matrix of polarization sensitive nested arrays is vectorized,and then the angle-polarization united redundant dictionary is established for sparse representation of the signals.Finally,the DOA estimation is achieved by sparse decomposition.Compared with the traditional methods,the algorithm has a higher estimation precision for multiple unknown polarization signals and can work in underdetermined cases.The effectiveness and correctness are verified by simulation results.

关 键 词：DOA估计 嵌套极化敏感阵列 冗余字典 稀疏表示 

分 类 号：TN971.3[电子电信—信号与信息处理]