SPECTRUM ESTIMATION FOR DISTRIBUTED SOURCES.

Unnikrishna Pillai, Fred Haber

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper considers the problem of estimating the spectrum of distributed sources from measurements made at the outputs of a set of spatially deployed sensor elements. It is shown here that by combining the useful properties of both the maximum likelihood method (MLM) and the eigenstructure-based technique, a doubly constrained, data-dependent spectrum estimator, the output of which approximates the distributed spectrum, can be realized.

Original languageEnglish (US)
Title of host publicationUnknown Host Publication Title
PublisherPrinceton Univ
Pages740-745
Number of pages6
StatePublished - 1986

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Maximum likelihood
Sensors

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Pillai, U., & Haber, F. (1986). SPECTRUM ESTIMATION FOR DISTRIBUTED SOURCES. In Unknown Host Publication Title (pp. 740-745). Princeton Univ.

SPECTRUM ESTIMATION FOR DISTRIBUTED SOURCES. / Pillai, Unnikrishna; Haber, Fred.

Unknown Host Publication Title. Princeton Univ, 1986. p. 740-745.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Pillai, U & Haber, F 1986, SPECTRUM ESTIMATION FOR DISTRIBUTED SOURCES. in Unknown Host Publication Title. Princeton Univ, pp. 740-745.
Pillai U, Haber F. SPECTRUM ESTIMATION FOR DISTRIBUTED SOURCES. In Unknown Host Publication Title. Princeton Univ. 1986. p. 740-745
Pillai, Unnikrishna ; Haber, Fred. / SPECTRUM ESTIMATION FOR DISTRIBUTED SOURCES. Unknown Host Publication Title. Princeton Univ, 1986. pp. 740-745
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