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  • 标题:Evolutionary MPNN for Channel Equalization
  • 本地全文:下载
  • 作者:Archana Sarangi ; Bijay Ketan Panigrahi ; Siba Prasada Panigrahi
  • 期刊名称:Journal of Signal and Information Processing
  • 印刷版ISSN:2159-4465
  • 电子版ISSN:2159-4481
  • 出版年度:2011
  • 卷号:2
  • 期号:1
  • 页码:11-17
  • DOI:10.4236/jsip.2011.21002
  • 出版社:Scientific Research Publishing
  • 摘要:This paper proposes a novel equalizer, termed here as Evolutionary MPNN, where a complex modified probabilistic Neural Networks (MPNN) acts as a filter for the detected signal pattern. The neurons were embedded with optimization algorithms. We have considered two optimization algorithms, Bacteria Foraging Optimization (BFO) and Ant Colony Optimization (ACO). The proposed structure have the ability to process complex signals also can perform for slowly varying channels. Also, Simulation results prove the superior performance of the proposed equalizer over the existing MPNN equalizers.
  • 关键词:Channel Equalization; Probabilistic Neural Network; Bacteria Foraging; Ant Colony Optimization
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