Application of different basis and neural network turbo decoding algorithm in multicarrier modulation system over time-variant channels

  • Authors:

  • Yupeng Jia;Dongfeng Yuan;Haixia Zhang;Xinying Gao

  • Affiliations:

  • School of Information Science and Engineering, Shandong Univ., Jinan, Shandong, China;School of Information Science and Engineering, Shandong Univ., Jinan, Shandong, China;School of Information Science and Engineering, Shandong Univ., Jinan, Shandong, China;School of Information Science and Engineering, Shandong Univ., Jinan, Shandong, China

  • Venue:
  • ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part III
  • Year:
  • 2005

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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.