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基于电磁矢量阵列的非相关分布源DOA估计
引用本文:石秀民,刘志文.基于电磁矢量阵列的非相关分布源DOA估计[J].北京理工大学学报,2012,32(8):838-843.
作者姓名:石秀民  刘志文
作者单位:北京理工大学信息与电子学院,北京,100081;北京理工大学信息与电子学院,北京,100081
基金项目:国家自然科学基金资助项目(60736006,61072099)
摘    要:提出了一种基于电磁矢量阵列(EMVSA)的非相关分布源(UD)DOA估计算法.建立了电磁矢量阵列非相关信号源模型(EMVSA-UD),同时考虑了分布源空域和极化域的分布特性,从而充分利用了分布源的信息.提出基于电磁矢量阵列的非相关分布源近似子空间算法(EMVSA-UD-ASSE),近似利用了信号子空间和噪声子空间的正交性,算法不需要进行特征值分解,避免了对UD确定有效信号子空间维数Me的困难.计算机仿真结果表明,EMVSA-UD合理,EMVSA-UD-ASSE稳定有效.

关 键 词:DOA估计  电磁矢量阵列  相干分布源  非相关分布源
收稿时间:2012/1/12 0:00:00

DOA Estimation for Un-Correlatively Distributed Source with Electromagnetic Vector-Sensor Array
SHI Xiu-min and LIU Zhi-wen.DOA Estimation for Un-Correlatively Distributed Source with Electromagnetic Vector-Sensor Array[J].Journal of Beijing Institute of Technology(Natural Science Edition),2012,32(8):838-843.
Authors:SHI Xiu-min and LIU Zhi-wen
Institution:School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China;School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
Abstract:A direction-of-arrival (DOA) estimation algorithm for un-correlatively distributed (UD) sources is proposed, based on electromagnetic vector-sensor array(EMVSA). An UD sources model with electromagnetic vector-sensor array (EMVSA-UD) is established, which has considered both space and polarization distribution. The estimator could exploit approximately orthogonal property between pseudo signal and pseudo noise subspaces. Moreover, the proposed algorithm does not require to decompose the eigenvalue of sample covariance matrix and to estimate effective dimension of the pseudo signal subspace. Simulation results indicate that the EMVSA-UD is reasonable, and DOA estimation algorithm performs well.
Keywords:DOA estimation  electromagnetic vector-sensor array  coherently distributed sources  un-correlatively distributed sources
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