MLP/BP-Based Soft Decision Feedback Equalization with Bit-Interleaved TCM for Wireless Applications

Terng Ren Hsu*, Chien Ching Lin, Terng-Yin Hsu, Chen-Yi Lee

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

For more efficient data transmissions, a new MLP/BP-based channel equalizer is proposed to compensate for multi-path fading in wireless applications. In this work, for better system performance, we apply the soft output and the soft feedback structure as well as the soft decision channel decoding. Moreover, to improve packet error rate (PER) and bit error rate (BER), we search for the optimal scaling factor of the transfer function in the output layer of the MLP/BP neural networks and add small random disturbances to the training data. As compared with the conventional MLP/BP-based DFEs and the soft output MLP/BP-based DFEs, the proposed MLP/BP-based soft DFEs under multi-path fading channels can improve over 3-0.6 dB at PER=10-1 and over 3.3-0.8 dB at BER=10-3.

Original languageEnglish
Pages (from-to)879-884
Number of pages6
JournalIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
VolumeE90-A
Issue number4
DOIs
StatePublished - 1 Jan 2007

Keywords

  • And trellis coded modulation (TCM)
  • Decision-feedback equalizer (DFE)
  • Intersymbol interference (ISI)
  • Multi-layered perceptron neural network with backpropagation algorithm (MLP/BP)
  • Multi-path fading channel

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