Title :
Threshold performance analysis of maximum likelihood DOA estimation
Author :
Forster, Philippe ; Larzabal, Pascal ; Boyer, Eric
Author_Institution :
GEA, Ville D´´Avray, France
Abstract :
The purpose of this paper is to investigate the nonasymptotic behavior of the maximum likelihood method in the context of lacunar array processing. We derive an analytical expression of the maximum likelihood mean square error, which is now valid for all signal-to-noise ratio (SNR) ranges. We also provide an analysis of the SNR threshold phenomena, which allows us to derive closed-form formulas for the threshold values. Computer simulations confirm the validity of the theoretical investigations.
Keywords :
array signal processing; direction-of-arrival estimation; maximum likelihood estimation; mean square error methods; DOA estimation; SNR threshold phenomena; lacunar array processing; maximum likelihood mean square error; maximum likelihood method; nonasymptotic behavior; signal-to-noise ratio; threshold performance analysis; uniform linear array; Array signal processing; Computer simulation; Covariance matrix; Direction of arrival estimation; Frequency estimation; Maximum likelihood estimation; Mean square error methods; Performance analysis; Signal analysis; Signal to noise ratio; Cramér–Rao bound; lacunar array processing; low SNR; maximum likelihood estimation; performance analysis; threshold effects;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2004.836463
