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
Link To Document :
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