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基于时域训练序列的MIMO系统信道估计算法研究

MIMO System Analysis of Channel Estimation Algorithm Based on Time-domain Training Sequence
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摘要 本文介绍了MIMO系统使用训练序列进行信道估计的方法。描述了基于时域训练序列的信道估计算法及采用遗传算法优化后的训练序列的信道估计算法。理论分析和仿真结果显示,后者性能更好,估计误差低于前者。 In this paper, channel estimation techniques using training sequence in MIMO system are introduced. The performance of Channel Estimation Algorithm Based on Time-domain training sequence and the sequence optimized by genetic algorithms are compared. Based on theoretical analysis and computer simulation, we conclude that the latter has advantages of better performance, lower estimation error than the former.
出处 《中国新通信》 2009年第7期42-45,共4页 China New Telecommunications
关键词 MIMO 信道估计 遗传算法 MIMO, channel estimation, genetic algorithms
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参考文献4

  • 1Yang S A,,Wu J.Optimal binary training sequence design for multiple-antenna systems over dispersive fading channels[].IEEETrans on Vehicular Technology.2002
  • 2Fan P Z,Mow W H.On optimal training sequence design for multiple-antenna systems over dispersive fading channels and its extensions[].IEEE Transactions on Vehicular Technology.2004
  • 3X. Ma,L. Yang,G. B. Giannakis.Optimal Training for MIMO Frequency-Selective Fading Channels[].IEEE Transaction on Wireless Communications.2005
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