posted on 2009-12-08, 10:02authored byYonggang Zhang, Ning Li, Jonathon Chambers
A new gradient-based variable step-size
LMS algorithm (VSSLMS) is proposed in this paper.
The step size of the proposed algorithm is
proportional to the squared norm of the smoothed
gradient vector, which is a proximity measure of the
adaptive process. In comparison with the existing
methods, the proposed VSSLMS algorithm has
improved convergence properties. Furthermore, the
parameter choice of the proposed algorithm can be
easily determined according to the analysis.
Simulation results show the good properties of the
proposed algorithm and support the performance
analysis.
History
School
Mechanical, Electrical and Manufacturing Engineering
Citation
ZHANG, Y., LI, N. and CHAMBERS, J.A., 2006. A new gradient based variable step-size LMS algorithm. IN: 2006 8th International Conference on Signal Processing (ICSP 2006), Guilin, China, Vol. 1, 16-20 November.