A deterministic blind separation approach based on GA for digital communication signals

Chen Wang, Shenhua Huang, Xuchu Dai, Peixia Xu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

A simple and effective mind approach is proposed for digital communication signals' separation task. By adopting deterministic contrasts, the general statistical independence assumption hold by conventional blind separation schemes is relaxed. Simplex Genetic Algorithm is applied in optimization procedure to avoid falling into local minima or saddle points, and could easily incorporate priori into fitness function to simplify optimization procedure. Moreover, GA based approach is a general framework and need little modification for different modulation mode, comparing with algebra or gradient based realizations. Presented simulations illustrate its effectiveness both in MIMO separation problem of correlated sources and blind STBC detection scheme.

Original languageEnglish (US)
Title of host publicationISCIT 2005 - International Symposium on Communications and Information Technologies 2005, Proceedings
Pages478-481
Number of pages4
DOIs
StatePublished - 2005
EventISCIT 2005 - International Symposium on Communications and Information Technologies 2005 - Beijing, China
Duration: Oct 12 2005Oct 14 2005

Publication series

NameISCIT 2005 - International Symposium on Communications and Information Technologies 2005, Proceedings
VolumeII

Other

OtherISCIT 2005 - International Symposium on Communications and Information Technologies 2005
Country/TerritoryChina
CityBeijing
Period10/12/0510/14/05

Keywords

  • Blind Separation
  • Determinist contrast
  • GA

ASJC Scopus subject areas

  • General Engineering

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