Title :
Improving music algorithm using BSS
Author_Institution :
Lafayette Coll., Easton
Abstract :
This paper presents a framework for improving performance of the popular MUSIC algorithm using blind source separation. Whether it is used for direction of arrival (DOA) estimation or for spectral estimation, the performance of the MUSIC algorithm can be improved via BSS. This paper shows the impact of BSS on spectral estimation via MUSIC and examines scenarios where the sources are corrupted with additive Gaussian noise, differ significantly in strength, and scenarios where the sources are correlated. This paper also examines the impact of spatial smoothing prior to BSS on the resolution performance of correlated sources. BSS does not offer the spectral resolution attained by MUSIC but does enhance its performance in noise.
Keywords :
Gaussian noise; blind source separation; direction-of-arrival estimation; MUSIC algorithm; additive Gaussian noise; blind source separation; direction of arrival estimation; spectral estimation; Additive noise; Blind source separation; Covariance matrix; Direction of arrival estimation; Eigenvalues and eigenfunctions; Multiple signal classification; Sensor arrays; Signal resolution; Source separation; Spatial resolution; Blind Source Separation; MUSIC;
Conference_Titel :
Antennas and Propagation Society International Symposium, 2007 IEEE
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-0877-1
Electronic_ISBN :
978-1-4244-0878-8
DOI :
10.1109/APS.2007.4396735
