Noise covariance modeling in array processing

B. Friedlander, A. J. Weiss

Research output: Contribution to conferencePaperpeer-review

1 Scopus citations

Abstract

We consider the problem of direction finding in the presence of colored noise whose covariance matrix is unknown. The ambient noise covariance matrix can be modeled by a sum of Hermitian matrices known up to a multiplicative scalar. Using this model, we estimate jointly the directions of arrival of the signals and the noise model parameters. Under certain conditions, it is possible to obtain unbiased and efficient estimates of the signal directions.

Original languageEnglish
Pages153-156
Number of pages4
DOIs
StatePublished - 1994
Event7th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1994 - Quebec, Canada
Duration: 26 Jun 199429 Jun 1994

Conference

Conference7th IEEE SP Workshop on Statistical Signal and Array Processing, SSAP 1994
Country/TerritoryCanada
CityQuebec
Period26/06/9429/06/94

Funding

FundersFunder number
U.S. Army Communications
Army Research OfficeDAAL03-91-C-0022

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