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Cited by 209

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Optimum localization of multiple sources by passive arrays

Wax, M., Kailath, T.·1983·IEEE Transactions on Acoustics, Speech, and Signal Processing

Abstract

The maximum likelihood (ML) estimator of the location of multiple sources and the corresponding Cramer-Rao lower bound on the error covariance matrix are derived. The derivation is carried out for the general case of correlated sources so that multipath propagation is included as a special case. It is shown that the ML processor consists of a bank of beam-formers, each focused to a different source, followed by a variable matrix-filter that is controlled by the assumed location of the sources. In the special case of uncorrelated sources and very low signal-to-noise ratio this processor reduces to an aggregate of ML processors for a single source with each processor matched to a different source. Iterative algorithms for the actual computation of the ML estimator are also presented.

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Metadata

Authors
Wax, M., & Kailath, T.
Venue
IEEE Transactions on Acoustics, Speech, and Signal Processing
Published
1983-10
Volume
31
Issue
5
Pages
1210-1217
ISSN
0096-3518 (ISSN-L)
OpenAlex
W2091570515
Cited by
209
References
1
FWCI
7.45
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Optimum localization of multiple sources by passive arrays. https://app.cochat.ai/papers/10.1109/tassp.1983.1164183
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Wax, M., & Kailath, T. (1983). Optimum localization of multiple sources by passive arrays. IEEE Transactions on Acoustics, Speech, and Signal Processing. https://doi.org/10.1109/tassp.1983.1164183

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