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A Novel Blind Multiuser Detection Model over Flat Fast Fading Channels

  • Hongbo Tian
  • Qinye Yin
  • Ke Deng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3973)

Abstract

A novel auxiliary system (AS) in particle filtering detector (PFD) for blind multiuser detection in synchronous system over flat and fast Rayleigh fading channels is proposed. We adopt an autoregressive-moving-average (ARMA) process to model the temporal correlation of the channels. Based on the ARMA process, the Hopfield neural network is adopted as an auxiliary system, the auxiliary system allows the particle filtering select fitted size of trajectories, and we further propose to obtain soft multiuser detection from the particle filtering and the auxiliary system. Simulation results demonstrate the performance of the proposed model.

Keywords

Fading Channel Auxiliary System CDMA System Hopfield Neural Network ARMA Process 
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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References

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hongbo Tian
    • 1
  • Qinye Yin
    • 1
  • Ke Deng
    • 1
  1. 1.Institute of Information Engineering, School of Electronics and Information EngineeringXi’an Jiaotong University, Email:jhk@mailst.xjtu.edu.cnXi’anChina

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