Title of article :
Threshold Performance Analysis of Maximum Likelihood DOA Estimation
Author/Authors :
H. Kassem and P. Forster ، نويسنده , , P. Larzabal، نويسنده , , Michelle E. Boyer-Pennington، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2004
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 :
Cramér–Rao bound , low SNR , maximum likelihood estimation , Performance analysis , threshold effects. , lacunar array processing
Journal title :
IEEE TRANSACTIONS ON SIGNAL PROCESSING
Journal title :
IEEE TRANSACTIONS ON SIGNAL PROCESSING