Mitigation of unknown narrowband interference using instantaneous error updates

Author

Batra, A. ; Ikuma, T. ; Zeidler, J.R. ; Beex, A.A. ; Proakis, J.G.

Author_Institution

Dept. of Electr. & Comput. Eng, California Univ., San Diego, CA, USA

Volume

1

fYear

2004

fDate

7-10 Nov. 2004

Firstpage

115

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 SINK, multipath characteristics and NLMS filter parameters.

Keywords

adaptive equalisers; adaptive filters; error statistics; least mean squares methods; multipath channels; nonlinear distortion; NLMS; NLMS filter parameter; adaptive equalizer; bit error rate; instantaneous error updates; narrowband interference; nonlinear effect; normalized least mean square algorithm; Adaptive equalizers; Additive noise; Additive white noise; Baseband; Decision feedback equalizers; Error correction; Gaussian noise; Interference; Narrowband; Transmitters;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on

Print_ISBN

0-7803-8622-1

Type

conf

DOI

10.1109/ACSSC.2004.1399101

Filename

1399101