Multiple Source Location Estimation Using the EM (Estimate-Maximize) Algorithm

Weinstein, Ehud; Feder, Meir

Multiple Source Location Estimation Using the EM (Estimate-Maximize) Algorithm

1986

Weinstein, Ehud | Feder, Meir

A computationally efficient scheme is presented for multiple source location estimation based on the EM Algorithm. The proposed scheme is optimal in the sense that it converges iteratively to the exact Maximum Likelihood estimate of all the unknown parameters simultaneously. The method can be applied to a wide range of problems arising in signal and array processing. Keywords: Array processing; Multiple source localization; EM algorithm.

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AGROVOC Keywords

algorithms efficiency

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Other Subjects

Maximum likelihood estimation; *arrays; Position(location); Range and position finding; *data reduction; Range(extremes); *position finding; Target direction; Estimates; Estimate maximize algorithm

Language

English

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http://stinet.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA208762Approved for public release; distribution is unlimited.

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Text

Source

WOODS HOLE OCEANOGRAPHIC INSTITUTION MADTIC AND NTIS

Corporate Author

WOODS HOLE OCEANOGRAPHIC INSTITUTION MA

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Multiple Source Location Estimation Using the EM (Estimate-Maximize) Algorithm

1986

AGROVOC Keywords

Bibliographic information