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Adaptive RLS algorithm for blind source separation using a natural gradient

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2 Author(s)
Xiao-Long Zhu ; Key Lab. for Radar Signal Process., Xidian Univ., Xi''an, China ; Xian-Da Zhang

By using the natural gradient on the Stiefel manifold to minimize a nonlinear principle component analysis criterion, this letter proposes a new adaptive recursive-least-squares (RLS) algorithm with prewhitening for blind source separation (BSS), which makes full use of the orthogonality constraint of the separating matrix. Simulations show that the new natural-gradient-based RLS algorithm has faster convergence than the existing least-mean-square algorithms and RLS algorithm for BSS.

Published in:

Signal Processing Letters, IEEE  (Volume:9 ,  Issue: 12 )