A novel blind multiuser detection model over flat fast fading channels

  • Authors:

  • Hongbo Tian;Qinye Yin;Ke Deng

  • Affiliations:

  • Institute of Information Engineering, School of Electronics and Information Engineering, Xi’an Jiaotong University, Email:jhk@mailst.xjtu.edu.cn, Xi’an, China;Institute of Information Engineering, School of Electronics and Information Engineering, Xi’an Jiaotong University, Email:jhk@mailst.xjtu.edu.cn, Xi’an, China;Institute of Information Engineering, School of Electronics and Information Engineering, Xi’an Jiaotong University, Email:jhk@mailst.xjtu.edu.cn, Xi’an, China

  • Venue:
  • ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part III
  • Year:
  • 2006

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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.