Adaptive Blind Equalization in Impulsive Noise

Shafayat Abrar, Azzedine Zerguine, Karim Abed-Meraim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

This work investigates the problem of blind channel equalization in the presence of burst noise. Modeling impulsive noise distribution as generalized-Gaussian, we derive an appropriate criterion for blind equalization. Our method exploits Wijsman's theorem and develops a maximal-invariant test of equally-likely pulsed signals against impulsive disturbance. We optimize the test and realize an adaptive equalizer, capable of not only mitigating intersymbol interference but also robust to impulsive disturbance. Numerical simulations, obtained on a baseband digital microwave radio system for amplitude-phase shift keying signaling in additive (generalized Gaussian and symmetric-alpha stable) impulsive environment, confirm the admissibility of the proposed equalizer in terms of robustness and steady convergence.

Original languageEnglish
Title of host publicationConference Record of the 54th Asilomar Conference on Signals, Systems and Computers, ACSSC 2020
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1415-1419
Number of pages5
ISBN (Electronic)9780738131269
DOIs
StatePublished - 1 Nov 2020
Externally publishedYes

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2020-November
ISSN (Print)1058-6393

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

Keywords

  • adaptive filter
  • blind equalization
  • generalized Gaussian distribution
  • impulsive noise
  • maximal invariance

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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