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Performance of LMS-based adaptive filters in tracking a time-varying plant

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2 Author(s)
B. Farhang-Boroujeny ; Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore ; S. Gazor

The article gives a general analysis of the LMS-based adaptive filters when used for tracking a class of time varying plants. The algorithms covered are the conventional LMS, the transform-domain normalized LMS, and the LMS/Newton algorithm. An important fact that we observe is that in comparing these algorithms, better initial convergence does not necessarily mean better tracking. A few special cases are presented that show the contrary

Published in:

IEEE Transactions on Signal Processing  (Volume:44 ,  Issue: 11 )