DocumentCode
1150832
Title
Signal-subspace processing using higher order statistics
Author
Leyman, A.R. ; Durrani, T.S.
Author_Institution
Dept. of Electron. & Electr. Eng., Strathclyde Univ., Glasgow
Volume
30
Issue
16
fYear
1994
fDate
8/4/1994 12:00:00 AM
Firstpage
1282
Lastpage
1284
Abstract
Eigendecomposition-based techniques such as MUSIC and its variants constitute effective methods for determining the direction of arrival (DOA) estimates of narrowband sources. A new strategy which extends the MUSIC algorithm to higher order statistics (HOS) is proposed for estimation of the DOA, and the number of multiple narrowband incoherent and coherent non-Gaussian signals. The performance of the technique is compared with other recently suggested HOS-based methods
Keywords
array signal processing; eigenvalues and eigenfunctions; statistics; MUSIC algorithm; coherent nonGaussian signals; direction of arrival; eigendecomposition-based techniques; higher order statistics; incoherent nonGaussian signals; narrowband sources; signal-subspace processing;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:19940900
Filename
311989
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