DocumentCode
3111263
Title
Subspace estimation and tracking using enhanced versions of Oja´s algorithm
Author
Attallah, S. ; Abed-Meraim, K.
Author_Institution
Centre for Wireless Commun., Singapore
fYear
2001
fDate
2001
Firstpage
218
Lastpage
220
Abstract
We present two normalized versions of the Oja (1992) algorithm (NOja and NOOja) which can be used for the estimation of minor (noise) and principal (signal) subspaces of a vector sequence. The new algorithms offer, as compared to Oja, a faster convergence, a better orthogonality and numerical stability with a slight increase in computational complexity. These algorithms can find many applications, in particular, in wireless communications
Keywords
numerical stability; parameter estimation; radiocommunication; sequences; tracking; vectors; NOOja; NOja; Oja algorithm; computational complexity; convergence; minor subspace; numerical stability; orthogonality; principal subspace; subspace estimation; tracking; vector sequence; wireless communications; Approximation algorithms; Computational complexity; Convergence; Covariance matrix; Iterative algorithms; Minimization methods; Multiaccess communication; Multiuser detection; Performance analysis; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, 2001. (SPAWC '01). 2001 IEEE Third Workshop on Signal Processing Advances in
Conference_Location
Taiwan
Print_ISBN
0-7803-6720-0
Type
conf
DOI
10.1109/SPAWC.2001.923886
Filename
923886
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