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Adaptive RLS algorithm for blind source separation using a natural gradient
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DOI：10.1109/LSP.2002.806047.png)
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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.
Keyword:
blind source separation
natural gradient
nonlinear principle component analysis
orthogonality constraint
recursive least squares
Stiefel manifold
期刊
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9.6
论文数:
1.1W
被引数:
1.7W
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