2-D DOA Estimation of Improved Toeplitz Algorithms to Coherent Sources

被引：2
|
作者：
Si, Weijian [1 ]
Li, Xiaolin [1 ]
Wu, Na [1 ]
机构：
[1] Haerbin Engn Univ, Coll Informat & Commun, Harbin, Peoples R China
来源：
PROCEEDINGS OF THE 2012 SECOND INTERNATIONAL CONFERENCE ON INSTRUMENTATION & MEASUREMENT, COMPUTER, COMMUNICATION AND CONTROL (IMCCC 2012) | 2012年
关键词：
component; toepilze matrix; coherent signals; DOA;
D O I：
10.1109/IMCCC.2012.294
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
An improved algorithm is proposed for Direction-Of-Arri val (DOA) estimation of coherent signals on a ULA, which get new covariance matrix by reconstructing a Toeplitz matrix using the observed data vector rather than getting covariance matrix directly by observed date vector. Traditional decorrelation algorithms are based on ULA. They can only find the one-dimensional (1-D) direction of arrival angles (DOAs). This paper employs the three orthogonal uniform linear arrays to find the 2-D direction of arrival angles. Simulation results verify that the proposed algorithm has better performance than the spatial smoothing MUSIC at the same simulating condition.
引用
收藏
页码：1251 / 1254
页数：4
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