Modified MUSIC Algorithm for DOA Estimation With Nystrom Approximation

被引：57
|
作者：
Liu, Guohong [1 ]
Chen, Hong [1 ]
Sun, Xiaoying [2 ]
Qiu, Robert C. [3 ]
机构：
[1] Jilin Univ, State Key Lab Automot Simulat & Control, Coll Commun Engn, Changchun 130021, Jilin, Peoples R China
[2] Jilin Univ, Coll Commun Engn, Changchun 130021, Jilin, Peoples R China
[3] Tennessee Technol Univ, Dept Elect & Comp Engn, Cookeville, TN 38505 USA
来源：
IEEE SENSORS JOURNAL | 2016年 / 16卷 / 12期
关键词：
MUSIC; direction-of-arrival; Nystrom method;
D O I：
10.1109/JSEN.2016.2557488
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Multiple signal classification (MUSIC) can be seen as one of the most popular solutions to the direction-of-arrival estimation problem in array signal processing. Traditionally, this method utilizes the whole array observations to construct the noise subspace. In this letter, based on the randomly chosen sensors outputs, we exploit the Nystrom method to approximate the noise subspace, and develop a low-complexity modified MUSIC version for far-field sources localization. Computer simulations confirm that the novel algorithm using only one-fourth sensors outputs provides almost the same estimation performance as its traditional version.
引用
收藏
页码：4673 / 4674
页数：2
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