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基于特征空间算法的非圆相干信源 DOA 估计

刁鸣 丁兆明 高洪元 李晨琬

哈尔滨工程大学学报Issue(12):1559-1563,5.
哈尔滨工程大学学报Issue(12):1559-1563,5.DOI:10.3969/j.issn.1006-7043.201310073

基于特征空间算法的非圆相干信源 DOA 估计

Estimating direction of arrival of non c-ircular coheren t signals based onE S-DOA estimation algorithm

刁鸣 1丁兆明 1高洪元 1李晨琬1

作者信息

  • 1. 哈尔滨工程大学信息与通信工程学院,黑龙江哈尔滨150001
  • 折叠

摘要

Abstract

A new eigenspace-direction of arrival ( ES-DOA) dec-orrelation algorithm is presented to estimate the di -rection of arrival of non-circular coherent signals.It takes advantage of non-circular characteristics of the signal source, virtually extends the number of the received array elements and doubles the array information compared with the information before extension.This makes the estimation of signal source number break through the maxi-mum M-1( with M representing the number of sensor elements) .Restructure the covariance matrix in which the a-mount of information has been doubled,and then do the de-correlation by the proposed ES-DOA algorithm.The new algorithm can make use of the information of signal subspace and noise subspace to the largest extent, and avoids the problem of array aperture loss caused by the spatial smoothing algorithm and the large amount of calculation caused by the maximum likelihood algorithm.Besides, the proposed ES-DOA algorithm can also be used to estimate the power of signal source, which can improve the probability of success in the estimation of low power signals.The simulation results indicated that the method is effective and robust in DOA estimation.

关键词

DOA估计/特征空间/非圆特性/相干信源/信号源功率/Toeplitz矩阵/MUSIC算法/小能量信号

Key words

DOA estimation/eigenspace/non-circular characteristic/coherent signals/signal power/Toeplitz ma-trix/MUSIC algorithm/low power signal

分类

信息技术与安全科学

引用本文复制引用

刁鸣,丁兆明,高洪元,李晨琬..基于特征空间算法的非圆相干信源 DOA 估计[J].哈尔滨工程大学学报,2014,(12):1559-1563,5.

基金项目

国家自然科学基金资助项目(61102106,61102105);中国博士后基金资助项目(2013M530148). ()

哈尔滨工程大学学报

OA北大核心CSCDCSTPCD

1006-7043

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