DocumentCode
1087625
Title
Maximum likelihood direction-finding in unknown noise environments
Author
Wu, Qiang ; Wong, Kon Max ; Reilly, James P.
Author_Institution
Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada
Volume
42
Issue
4
fYear
1994
fDate
4/1/1994 12:00:00 AM
Firstpage
980
Lastpage
983
Abstract
In array signal processing, most high resolution methods are established based on the spatially white noise model. However, in real environments, the noise model is often either unknown or undeterminable. This may cause the high resolution methods severe degradation in performance. In the paper, under the assumption that noise correlation is spatially limited, using two separated arrays, the authors propose a maximum likelihood method for the directions of arrival (DOA) estimation in unknown noise environments
Keywords
array signal processing; matrix algebra; maximum likelihood estimation; parameter estimation; random noise; DOA; array signal processing; directions of arrival estimation; high resolution methods; maximum likelihood method; noise correlation; noise model; performance; real environments; Array signal processing; Degradation; Direction of arrival estimation; Maximum likelihood estimation; Navigation; Sensor arrays; Signal resolution; Spatial resolution; White noise; Working environment noise;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/78.285668
Filename
285668
Link To Document