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

doi:10.1093/ietfec/e90-a.4.879

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

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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.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E90-A No.4 pp.879-884

Publication Date: 2007/04/01

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Online ISSN: 1745-1337

DOI: 10.1093/ietfec/e90-a.4.879

Type of Manuscript: LETTER

Category: Neural Networks and Bioengineering

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Terng-Ren HSU, Chien-Ching LIN, Terng-Yin HSU, Chen-Yi LEE, "MLP/BP-Based Soft Decision Feedback Equalization with Bit-Interleaved TCM for Wireless Applications" in IEICE TRANSACTIONS on Fundamentals, vol. E90-A, no. 4, pp. 879-884, April 2007, doi: 10.1093/ietfec/e90-a.4.879.
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.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e90-a.4.879/_p

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@ARTICLE{e90-a_4_879,
author={Terng-Ren HSU, Chien-Ching LIN, Terng-Yin HSU, Chen-Yi LEE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={MLP/BP-Based Soft Decision Feedback Equalization with Bit-Interleaved TCM for Wireless Applications},
year={2007},
volume={E90-A},
number={4},
pages={879-884},
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.},
keywords={},
doi={10.1093/ietfec/e90-a.4.879},
ISSN={1745-1337},
month={April},}

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TY - JOUR
TI - MLP/BP-Based Soft Decision Feedback Equalization with Bit-Interleaved TCM for Wireless Applications
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 879
EP - 884
AU - Terng-Ren HSU
AU - Chien-Ching LIN
AU - Terng-Yin HSU
AU - Chen-Yi LEE
PY - 2007
DO - 10.1093/ietfec/e90-a.4.879
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E90-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2007
AB - 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.
ER -