Bradley Department of Electrical & Computer EngineeringVirginia Tech
Title Mitigation of Unknown Narrowband Interference Using Instantaneous Error Updates
Author(s) Arun Batra, Takeshi Ikuma, James R. Zeidler, A. A. (Louis) Beex, and J. G. Proakis
Document Type Conference Proceeding
Conference 38th Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA
Publication Information Paper #: MA6b-3
Conference Date 7-10 November, 2004
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Abstract
Nonlinear effects of the Normalized Least Mean Square (NLMS) algorithm are studied in the presence of multipath and severe narrowband interference, for applications where there is no direct reference for the interfering signal. The nonlinear characteristics of the adaptive equalizer are used to generate a reference signal for the interference from the instantaneous error signal. The adaptive coefficients are optimized such that the width of the notch is minimized in order to reduce signal distortion. The bit error rate improvement is quantified as a function of input SINR, multipath characteristics, and NLMS filter parameters.
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