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Application of Different Basis and Neural Network Turbo Decoding Algorithm in Multicarrier Modulation System over Time-Variant Channels

  • Yupeng Jia
  • Dongfeng Yuan
  • Haixia Zhang
  • Xinying Gao
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3498)

Abstract

In this paper filter bank generated by different orthogonal Daubechies wavelets and bi-orthogonal wavelets are tested. Due to the high spectral containment of wavelet filters, the wavelet packet Multicarrier moduclation (WP-MCM) system performs better than Fourier based MCM system over time-variant channels. Turbo code adopting neural network (NN) decoding algorithm is applied in WP-MCM system, the BER performance improves greatly over time-variant channels with few iterations in the regions of low signal to noise ratio and is very close to that adopting the maximum a posteriori (MAP) decoding algorithm.

Keywords

Cyclic Prefix Code Word Turbo Code Wavelet Filter Orthogonal Wavelet Basis 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Yupeng Jia
    • 1
  • Dongfeng Yuan
    • 1
    • 2
  • Haixia Zhang
    • 1
  • Xinying Gao
    • 1
  1. 1.School of Information Science and EngineeringShandong Univ.JinanChina
  2. 2.State Key Lab, on Mobile CommunicationsSoutheast Univ.NanjingChina

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