Title :
Direction-Of-Arrival Estimation Using AMLSS Method
Author :
Atashbar, M. ; Kahaei, M.H.
Author_Institution :
Iran Univ. of Sci. & Technol., Tehran, Iran
Abstract :
We propose the AMLSS method for DOA estimation of narrow-band signals. In this method, the distribution of covariance matrix estimation error is used for Maximum Likelihood estimation of potential source signals variances. This leads to a nonnegative LASSO sparse model for which a new criterion is proposed to determine the regulation parameter. Simulation results show that the performance of this method in estimation of the number of sources is more accurate than the Picard, MUSIC, and SPICE methods. Also, it outperforms Picard and SPICE methods in accurate DOA estimation.
Keywords :
covariance matrices; direction-of-arrival estimation; maximum likelihood estimation; signal classification; AMLSS method; DOA estimation; MUSIC methods; Picard methods; SPICE methods; covariance matrix estimation error; direction-of-arrival estimation; estimation method; maximum likelihood estimation; multiple signal classification; narrow-band signals; nonnegative LASSO sparse model; potential source signals variances; regulation parameter; Covariance matrix; Dictionaries; Direction of arrival estimation; Estimation; Multiple signal classification; SPICE; Vectors; DOA estimation; LASSO nonnegative sparse; maximum likelihood;
Journal_Title :
Latin America Transactions, IEEE (Revista IEEE America Latina)
DOI :
10.1109/TLA.2012.6362348
