Source Localization using MUSIC in a Multipath Environment

Author

De Leon, Franz A. ; Marciano, Joel Joseph S, Jr.

Author_Institution

Dept. of Electr. & Electron. Eng., Univ. of Philippines, Quezon City

Volume

2

fYear

2007

fDate

12-14 Feb. 2007

Firstpage

1327

Lastpage

1329

Abstract

MUSIC is a popular subspace method because of its superior performance in estimating direction-of-arrival (DOA). However, the performance of the algorithm in a multipath environment has not been fully addressed. This study evaluates the performance of MUSIC algorithm in estimating DOA in such situation. Experimental verification was performed in an enclosed room with varied parameters including the number of sensors in the antenna array and inter-element spacing. Results show that the algorithm localizes the signal with a deviation of 3⁰ for a four-element, lambda/2 spaced array.

Keywords

antenna arrays; array signal processing; direction-of-arrival estimation; signal classification; DOA; MUSIC; antenna array; direction-of-arrival estimation; multipath environment; source localization; subspace method; Antenna arrays; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Linear antenna arrays; Matrix decomposition; Multiple signal classification; Narrowband; Receiving antennas; Sensor arrays; MUSIC; direction-of-arrival; multipath;

fLanguage

English

Publisher

ieee

Conference_Titel

Advanced Communication Technology, The 9th International Conference on

Conference_Location

Gangwon-Do

ISSN

1738-9445

Print_ISBN

978-89-5519-131-8

Type

conf

DOI

10.1109/ICACT.2007.358602

Filename

4195403