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文章基本信息

  • 标题:Research on Key Problems of Channel Estimation Based on Plural RBF Neural Network
  • 本地全文:下载
  • 作者:Nan Wang ; Bo Hu ; Junyang Zhang
  • 期刊名称:International Journal of Hybrid Information Technology
  • 印刷版ISSN:1738-9968
  • 出版年度:2015
  • 卷号:8
  • 期号:10
  • 页码:81-90
  • DOI:10.14257/ijhit.2015.8.10.08
  • 出版社:SERSC
  • 摘要:A new channel estimation method of neural network based on complex radial basis function (CRBF) is proposed to enhance the anti-interference ability of traditional pilot frequency estimation algorithm in power line communication (PLC). This method builds up a new channel model of complex field signals in PLC. The complete response model was established by using transmitting terminal's pilot signal as input sample data, pilot signal's frequency response as output sample data, and pre-setting mean square error (MSE) and diffusion constant. Computer simulations show that compared with the traditional algorithm the channel estimation was more accurate and had lower MSE and bit error rate (BER).
  • 关键词:power line communication; orthogonal frequency division multiplexing; ; channel estimation; complex radical basis function algorithm
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