Direction-Of-Arrival Estimation Using AMLSS Method (Direction-Of-Arrival Estimation Using AMLSS Method)

Mahmoud Atashbar (matashbar@iust.ac.ir), Mohammad Hossein Kahaei (kahaei@iust.ac.ir)


Iran University of Science and Technology
This paper appears in: Revista IEEE América Latina

Publication Date: Sept. 2012
Volume: 10,   Issue: 5 
ISSN: 1548-0992


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.

Index Terms:
DOA estimation, maximum likelihood, LASSO nonnegative sparse.   


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