MLP/BP-Based Soft Decision Feedback Equalization with Bit-Interleaved TCM for Wireless Applications(Neural Networks and Bioengineering)

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概要

• 論文の詳細を見る

• 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 3-0.6dB at PER=10^<-1> and over 3.3-0.8dB at BER=10^<-3>.

• 社団法人電子情報通信学会の論文
• 2007-04-01

著者

• Lee Chen-Yi

  Department of Electronics Engineering & Institute of Electronics, National Chiao-Tung University

• Lee Chen-yi

  Department Of Electronics Engineering National Chiao Tung University

• Lin Chien-ching

  Department Of Electronics Engineering National Chiao Tung University

• Hsu Terng-yin

  Department Of Computer Science National Chiao-tung University

• Hsu Terng-ren

  Department Of Electronics Engineering National Chiao Tung University:department Of Microelectronics

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• MLP/BP-Based Soft Decision Feedback Equalization with Bit-Interleaved TCM for Wireless Applications(Neural Networks and Bioengineering)

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