Maximum-likelihood direction-of-arrival estimation in the presence of unknown nonuniform noise

We consider the problem of estimating directions of arrival (DOAs) of multiple sources observed on the background of nonuniform white noise with an arbitrary diagonal covariance matrix. A new deterministic maximum likelihood (ML) DOA estimator is derived. Its implementation is based on an iterative...

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Vydáno v:	IEEE transactions on signal processing Ročník 49; číslo 7; s. 1310 - 1324
Hlavní autoři:	Pesavento, M., Gershman, A.B.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York, NY IEEE 01.07.2001 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Analytical models Applied sciences Arrays Circuit noise Closed-form solution Covariance matrix Detection, estimation, filtering, equalization, prediction Direction of arrival estimation Exact sciences and technology Information, signal and communications theory Iterative methods Mathematical models Maximum likelihood estimation Noise Nonuniform Performance analysis Seismic phenomena Signal and communications theory Signal processing Signal, noise Simulation Stochastic resonance Studies Telecommunications and information theory White noise Performance evaluation Simulation Arrival angle Signal estimation White noise Signal processing Maximum likelihood Antenna array Cramer Rao inequality
ISSN:	1053-587X, 1941-0476
On-line přístup:	Získat plný text
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