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文章基本信息

  • 标题:The Adaptive Algorithm of Parallel Genetic Optimization Based on Orthogonal Wavelet of Space Diversity
  • 本地全文:下载
  • 作者:Jiang Xiaoping ; Liu Xin ; Ding Hao
  • 期刊名称:The Open Cybernetics & Systemics Journal
  • 电子版ISSN:1874-110X
  • 出版年度:2015
  • 卷号:9
  • 期号:1
  • 页码:581-586
  • DOI:10.2174/1874110X01509010581
  • 出版社:Bentham Science Publishers Ltd
  • 摘要:Diversity technology can effectively resist channel multipath fading, and balanced technology can effectively inhibit the intersymbol interference, so combining the diversity technology and balanced technology can effectively improve the quality of communication. This paper uses parallel adaptive genetic algorithm of orthogonal wavelet based on spatial diversity, taking the space diversity of each branch equalizer weight vector as the son species clusters of parallel genetic algorithms for selection, crossover and mutation, sending the individual of the best fitness between each son species clusters regularly, and eliminating the individual of the worst fitness, then taking diversity branch output signals equal gain combined with inputs orthogonal wavelet adaptive device. The simulation results show that the algorithm has the characters of fast convergence, small steady-state error and superior solution of global.
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