DocumentCode
3381296
Title
Fast recursive subspace updating for detection and angle estimation of multiple sources
Author
Yu, Kai-bor
Author_Institution
GE Res. & Dev. Center, Schenectady, NY, USA
fYear
1992
fDate
7-9 Oct 1992
Firstpage
374
Lastpage
377
Abstract
This paper is concerned with detection of a number of sources and estimation of their corresponding direction-of-arrival using eigenvalue decomposition updating with subspace structure constraint. The covariance matrix is a low rank matrix plus a noise diagonal matrix. In addition to cleaning up the data, the subspace constraint enables the author to develop an efficient algorithm for updating the principal subspace and the noise eigenvalue
Keywords
array signal processing; eigenvalues and eigenfunctions; matrix algebra; parameter estimation; signal detection; algorithm; angle estimation; covariance matrix; direction-of-arrival; eigenvalue decomposition; multiple sources; noise diagonal matrix; recursive subspace updating; source detection; subspace structure constraint; Cleaning; Covariance matrix; Eigenvalues and eigenfunctions; Matrix decomposition; Monitoring; Multiple signal classification; Noise level; Recursive estimation; Sensor arrays; Subspace constraints;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal and Array Processing, 1992. Conference Proceedings., IEEE Sixth SP Workshop on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-0508-6
Type
conf
DOI
10.1109/SSAP.1992.246772
Filename
246772
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