Improved MUSIC Algorithm for Multiple Noncoherent Subarrays

Author

Fei Wen ; Qun Wan ; Rong Fan ; Hewen Wei

Author_Institution

Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

21

Issue

5

fYear

2014

fDate

May-14

Firstpage

527

Lastpage

530

Abstract

This work addresses the direction-of-arrival (DOA) estimation issue with multiple noncoherent subarrays. We use a maximum likelihood approach to derive a weighted MUSIC (w-MUSIC) algorithm for such arrays, which obtains the overall spatial spectrum via combining the weighted MUSIC spectrum of the subarrays. Theoretical analysis and numerical examples demonstrate that the w-MUSIC algorithm has a better performance compared to a previously introduced MUSIC algorithm for noncoherent subarrays.

Keywords

array signal processing; direction-of-arrival estimation; maximum likelihood estimation; signal classification; direction-of-arrival estimation; maximum likelihood approach; multiple noncoherent subarrays; spatial spectrum; w-MUSIC algorithm; weighted MUSIC spectrum algorithm; Algorithm design and analysis; Direction-of-arrival estimation; Maximum likelihood estimation; Multiple signal classification; Sensor arrays; Signal processing algorithms; Direction Of Arrival (DOA) estimation; MUSIC algorithm; noncoherent arrays; time varying arrays;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2014.2308271

Filename

6747980