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Kind of novel blind equalization algorithm based on fractional sampling method

  • Henan University of Technology
  • Northwestern Polytechnical University Xian

科研成果: 期刊稿件 › 文章 › 同行评审

6 引用 (Scopus)

摘要

Blind equalization is an effective way to suppress the inter-symbol interference (ISI), which is caused by multipath fading communication channels. The super-exponential iteration (SEI) blind equalization algorithm has the advantage of good tracking capability of the time varying channel. However real channels are generally non-minimum phase systems, baud-spaced equalizers exhibit poor performance under this circumstance. Based on fractional sampling method, a new super-exponential iteration decision feedback blind equalization algorithm for severely nonlinear phase distortion channels was proposed. The simulation results show that the proposed algorithm with faster convergence rate acquires an improvement of about 7dB reduction in residual MSE as comparing with the MSE obtainable with the baud-spaced one.

源语言英语
页(从-至)431-433
页数3
期刊Xitong Fangzhen Xuebao / Journal of System Simulation
卷18
期2
出版状态已出版 - 2月 2006

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