DocumentCode :
2127467
Title :
Fast, accurate subspace tracking using operator restriction analysis
Author :
MacInnes, C.S.
Author_Institution :
NUWC, Newport, RI
Volume :
3
fYear :
1998
fDate :
12-15 May 1998
Firstpage :
1357
Abstract :
A new noniterative subspace tracking method is presented. This method is called the operator restriction algorithm (OPERA) and it can be used whenever an update to the principal components of an EVD or SVD of a rank-one update of a given matrix is needed. The updating algorithms are based on the technique of restricting a linear operator to a subspace and the concept of an invariant subspace and its generalization, a pair of singular subspaces. The accuracy of the algorithm is comparable to an EVD or SVD. An application is made to bearing estimation of highly nonstationary sources. Flop counts, tracking accuracy and subspace accuracy for OPERA are compared with other fast algorithms and with the EVD
Keywords :
array signal processing; direction-of-arrival estimation; mathematical operators; singular value decomposition; tracking; EVD; OPERA; SVD; accurate subspace tracking; bearing estimation; fast algorithms; fast subspace tracking; flop counts; invariant subspace; linear operator; matrix; noniterative subspace tracking; nonstationary sources; operator restriction algorithm; principal components; rank-one update; singular subspaces; subspace accuracy; updating algorithms; Additive white noise; Direction of arrival estimation; Multiple signal classification; Parameter extraction; Sampling methods; Sensor arrays; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
ISSN :
1520-6149
Print_ISBN :
0-7803-4428-6
Type :
conf
DOI :
10.1109/ICASSP.1998.681698
Filename :
681698
Link To Document :
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