DocumentCode
850159
Title
Nonasymptotic performance analysis of beamforming with stochastic signals
Author
Boyer, Eric ; Forster, Philippe ; Larzabal, Pascal
Author_Institution
SATIE, Ecole Normale Superieure de Cachan, France
Volume
11
Issue
1
fYear
2004
Firstpage
23
Lastpage
25
Abstract
This letter is devoted to the analysis of the nonasymptotic behavior of beamforming for the bearing estimation of a single stochastic source impinging on an uniform linear array. An analytic expression of the maximum-likelihood mean-squared error is derived. This general expression is valid at any SNR and for any number of snapshots. Simulation results verify the analytically predicted performances.
Keywords
array signal processing; direction-of-arrival estimation; maximum likelihood estimation; mean square error methods; stochastic processes; SNR; beamforming; bearing estimation; maximum-likelihood mean-squared error; nonasymptotic performance analysis; stochastic signals; uniform linear array; Array signal processing; Direction of arrival estimation; Genetic expression; H infinity control; Maximum likelihood estimation; Performance analysis; Sensor arrays; Signal analysis; Stochastic processes; Vectors;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2003.819358
Filename
1255915
Link To Document