电磁矢量阵中基于PARALIND分解的相干DOA估计算法  

PARALIND Decomposition-Based Coherent Direction of Arrival Estimation Algorithm for Electro-magnetic Vector Array

作　　者：徐乐 张小飞[1] 林新平 周梦婕 Xu Le;Zhang Xiaofei;Lin Xinping;Zhou Mengjie(College of Electronic and Information Engineering,Nanjing University of Aeronautics & Astronautics,Nanjing,211106,China)

机构地区：[1]南京航空航天大学电子信息工程学院

出　　处：《数据采集与处理》2019年第4期697-705,共9页Journal of Data Acquisition and Processing

基　　金：国家自然科学基金（61371169）资助项目;南京航空航天大学研究生创新基地（实验室）开放基金（kfjj20170412）资助项目

摘　　要：将电磁矢量传感器阵列参数估计问题与平行线性相关剖面模型(Parallel profiles with lineardependencies,PARALIND)相结合,利用PARALIND分解,提出了一种线性电磁矢量阵中相干信号波达方向(Direction of arrival,DOA)估计算法。该算法能够实现对电磁矢量阵中相干信源的角度估计,同时能得到相应的相干系数矩阵,其估计过程无需谱峰搜索,对均匀线阵以及非均匀线阵都适用。该算法角度估计性能优于传统的前后向平滑借助旋转不变性进行信号参数估计(Forward backwardspatial smoothing-estimation of signal parameters via rotational invariance techniques,FBSS-ESPRIT)算法和前后向平滑传播算子(Forward backward spatial smoothing-propagator method,FBSS-PM)算法,且对于角度相隔较近的相干信源,该算法也能进行有效的辨识与估计。The paper combines the parameter estimation problem of electromagnetic vector array with the parallel profiles with linear dependencies(PARALIND)model,and proposes a PARALIND decomposition-based coherent direction of arrival(DOA)estimation algorithm for electromagnetic vector array.The proposed algorithm is effective for coherent sources angle estimations without the need for peak searching.In addition,the corresponding correlated matrix also can be obtained and it is effective for both uniform and non-uniform linear array.Compared with traditional forward backward spatial smoothing-estimation of signal parameters via rotational invariance techniques(FBSS-ESPRIT)algorithm and forward backward spatial smoothing-propagator method(FBSS-PM)algorithm,the proposed approach has better angle estimation performance and moreover it can distinguish closely-spaced coherent sources and achieve their angle estimations effectively.

关 键 词：PARALIND分解 波达方向 电磁矢量传感器 相干信源 

分 类 号：TN9[电子电信—信息与通信工程] U.7[交通运输工程]