NDLI: A robust variable step-size LMS algorithm using error-data normalization [adaptive filter applications]

Content Provider	IEEE Xplore Digital Library
Author	Ramadan, Z. Poularikas, A.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Alabama Univ., Huntsville, AL, USA (Ramadan, Z.; Poularikas, A.)
Abstract	This paper introduces a new variable step-size LMS algorithm in which the step-size is dependent on both data and error normalization. With an appropriate choice of the value of the fixed step-size and the ratio between error and data normalization in the proposed algorithm, a trade-off between speed of convergence and misadjustment can be achieved. The performance of the algorithm is compared with other LMS-based algorithms in several input environments. Computer simulation results demonstrate substantial improvements in the speed of convergence of the proposed algorithm in a stationary environment over other algorithms with the same small level of misadjustment. In addition, the proposed algorithm shows superior tracking capability when the system is subjected to an abrupt disturbance. For a nonstationary environment, the performance of the algorithm is equivalent to other time-varying step-size algorithms.
Sponsorship	Region 3 of the Inst. of Electr. and Electron. Eng. IEEE Broward Sect. Nova Southeastern Univ
Starting Page	219
Ending Page	224
File Size	1840687
Page Count	6
File Format	PDF
ISBN	0780388658
DOI	10.1109/SECON.2005.1423249
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-04-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robustness Least squares approximation Convergence Computer errors Adaptive filters Vectors Data engineering Computer simulation Stochastic processes Transversal filters
Content Type	Text
Resource Type	Article

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