Direction finding networks based on the approximate maximum likelihood and covariance fit formulations

D. Goryn, M. Kaveh

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

1 Scopus citations

Abstract

Competitive feedback network solutions for narrowband direction finding are developed. The main interest lies in estimating the directions of arrival for closely spaced sources. It is shown that if there is a priori information about the number of sources a conditional maximum likelihood solution can be obtained by the network. A suboptimal estimator that requires no a priori knowledge about the number of signals and a network that performs a covariance fit is also presented. Results are presented using both synthetic and real array data.

Original languageEnglish (US)
Title of host publicationProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
PublisherPubl by IEEE
Pages3045-3048
Number of pages4
ISBN (Print)0780300033
DOIs
StatePublished - 1991
EventProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91 - Toronto, Ont, Can
Duration: May 14 1991May 17 1991

Publication series

NameProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume5
ISSN (Print)0736-7791

Other

OtherProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91
CityToronto, Ont, Can
Period5/14/915/17/91

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