DocumentCode
2030561
Title
Constrained beamspace MUSIC
Author
Linebarger, D.A. ; DeGroat, R.D. ; Dowling, E.M. ; Stoica, P.
Author_Institution
Prog. in Electr. Eng., Univ. of Texas at Dallas, Richardson, TX, USA
Volume
4
fYear
1993
fDate
27-30 April 1993
Firstpage
548
Abstract
Constrained multiple signal classification (MUSIC) and beamspace MUSIC are similar algorithms in that they both incorporate a priori information about signal directions and involve linear transformation on the data. However, it is shown that constrained MUSIC deflates the noise subspace (assuming no out-of-sector sources). They can be used together, resulting in constrained beamspace MUSIC. The authors also perform an asymptotic variance analysis and contrast the performance of MUSIC, constrained MUSIC, beamspace MUSIC, and constrained beamspace MUSIC.<>
Keywords
array signal processing; variational techniques; asymptotic variance analysis; constrained beamspace MUSIC; linear transformation; multiple signal classification; signal directions;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on
Conference_Location
Minneapolis, MN, USA
ISSN
1520-6149
Print_ISBN
0-7803-7402-9
Type
conf
DOI
10.1109/ICASSP.1993.319716
Filename
319716
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