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Maximum-likelihood DOA estimation by data-supported grid search

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2 Author(s)
Stoica, Petre ; Dept. of Syst. & Control, Uppsala Univ., Sweden ; Gershman, A.B.

After reviewing the main existing methods for determining the maximum-likelihood (ML) estimates of the direction-of-arrival (DOA) parameters in array signal processing applications, we introduce a new conceptually simple and computationally effective approach that consists of maximizing the likelihood function (LF) over a set of points derived from the data. We show that the data-supported grid search of the LF provides a performance similar to that achieved by a genetic algorithm, but at a significantly lower computational cost. We use an ESPRIT-like algorithm to obtain the grid points with support in the data, although our approach is not limited to this choice.

Published in:

Signal Processing Letters, IEEE  (Volume:6 ,  Issue: 10 )