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
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;
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
DOI :
10.1109/SPAWC.2001.923886
