On direction finding with unknown noise covariance

Benjamin Friedlander, Anthony J. Weiss

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

A class of direction finding methods which operate in the presence of correlated noise with an unknown covariance matrix is presented. The approach is based on joint estimation of the directions of arrival and the parameters of a model for the noise covariance matrix, using a maximum likelihood estimator, its suboptimal version or other methods. Formulas for evaluating the maximal number of identifiable noise parameters are also derived. Using the Cramer Rao bound we study the degradation in DOA estimation accuracy due to the estimation of the noise parameters.

Original languageEnglish
Title of host publicationConference Record - 28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
PublisherIEEE Computer Society
Pages780-784
Number of pages5
ISBN (Electronic)0818664053
DOIs
StatePublished - 1994
Event28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994 - Pacific Grove, United States
Duration: 31 Oct 19942 Nov 1994

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2
ISSN (Print)1058-6393

Conference

Conference28th Asilomar Conference on Signals, Systems and Computers, ACSSC 1994
Country/TerritoryUnited States
CityPacific Grove
Period31/10/942/11/94

Funding

FundersFunder number
Army Research OfficeDAAL03-91-C-0022
Air Force Office of Scientific Research

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