Stochastic Maximum-Likelihood DOA Estimation in the Presence of Unknown Nonuniform Noise

This correspondence investigates the direction-of-arrival (DOA) estimation of multiple narrowband sources in the presence of nonuniform white noise with an arbitrary diagonal covariance matrix. While both the deterministic and stochastic Cramer-Rao bound (CRB) and the deterministic maximum-likelihoo...

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Vydáno v:	IEEE transactions on signal processing Ročník 56; číslo 7; s. 3038 - 3044
Hlavní autoři:	Chiao En Chen, Lorenzelli, F., Hudson, R.E., Kung Yao
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.07.2008 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Applied sciences Cities and towns Detection, estimation, filtering, equalization, prediction Direction of arrival estimation Direction-of-arrival (DOA) estimation Equations Estimators Exact sciences and technology Information, signal and communications theory Iterative methods Mathematical models Maximum likelihood estimation Miscellaneous Narrowband Noise Nonuniform nonuniform noise Position measurement sensor array processing Sensor arrays Signal and communications theory Signal processing Signal processing algorithms Signal, noise Speech processing stochastic maximum likelihood (ML) algorithm Stochastic resonance Stochasticity Studies Telecommunications and information theory Performance evaluation Direction-of-arrival estimation Parameter estimation Nuisance parameter Array signal processing sensor array processing Signal estimation Iterative method Background noise Implementation White noise Antenna array Deterministic approach Likelihood function Cramer Rao inequality Logarithmic function stochastic maximum likelihood (ML) algorithm Direction-of-arrival (DOA) estimation Covariance matrix Algorithm Narrow band Simulation Diagonal matrix Signal processing nonuniform noise Maximum likelihood Sensor array
ISSN:	1053-587X, 1941-0476
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