An improved forward/backward spatial smoothing Root-MUSIC algorithm based on signal decorrelation

Author

Shu Changgan ; Liu Yumin

Author_Institution

State Key Lab. of IPOC, Beijing Univ. of Posts & Telecommun., Beijing, China

fYear

2014

fDate

29-30 Sept. 2014

Firstpage

1252

Lastpage

1255

Abstract

The traditional Root-MUSIC algorithm has a weak ability for the extraction of coherent sources. In this paper, an improved forward/backward spatial smoothing Root-MUSIC Algorithm is proposed. By reconstructing and weighting the covariance matrix of the uniform linear array and the subarrays according to certain rules, the modified algorithm could provide a better performance in direction of arrival estimation of coherent sources than the standard. The simulations are given in order to validate the validity of the proposed method.

Keywords

covariance matrices; direction-of-arrival estimation; signal classification; smoothing methods; coherent source extraction; covariance matrix; direction of arrival estimation; forward-backward spatial smoothing Root-MUSIC algorithm; signal decorrelation; subarrays; uniform linear array; Arrays; Covariance matrices; Direction-of-arrival estimation; Estimation; Signal to noise ratio; Smoothing methods; Root-MUSIC; coherent sources; direction of arrival; forward/backward spatial smoothingl;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on

Conference_Location

Ottawa, ON

Type

conf

DOI

10.1109/WARTIA.2014.6976509

Filename

6976509