Title :
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
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;
Conference_Titel :
Advanced Communication Technology, The 9th International Conference on
Conference_Location :
Gangwon-Do
Print_ISBN :
978-89-5519-131-8
DOI :
10.1109/ICACT.2007.358602