Skip to main content
SpringerLink
Log in
Book cover

International Symposium on Neural Networks

ISNN 2006: Advances in Neural Networks - ISNN 2006 pp 102–107Cite as

A Novel Blind Multiuser Detection Model over Flat Fast Fading Channels

  • Conference paper

  • 2175 Accesses

Part of the book series: Lecture Notes in Computer Science ((LNTCS,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.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   119.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Verd’u, S.: Multiuser Detection. Cambridge University Press, New York (1998)

    Google Scholar 

  2. Huang, Y., Zhang, J., Djuri´c, P.M.: Adaptive Blind Multiuser Detection over Flat Fast Fading Channels using Particle Filtering. IEEE Trans.on Communications 4, 2419–2423 (2004)

    Google Scholar 

  3. Punskaya, E., Andrieu, C., Doucet, A., Fitzgerald, W.J.: Particle Filtering for Multiuser Detection in Fading CDMA Channels. In: IEEE Signal Processing Workshop on Statistical Signal Processing, pp. 38–41 (2001)

    Google Scholar 

  4. Huang, Y., Djuri´c, P.M.: A Blind particle Filtering Detector of Signals Transmitted over Flat Fading Channels. IEEE Trans.on Signal Processing 52, 1891–1900 (2004)

    Article  MathSciNet  Google Scholar 

  5. Hopfield, J.J.: Neurons with Graded Response Have Collective Computational Properties like Those of Two-State Neurons. Proc. Nut. Acad. Sci. 81, 3088–3092 (1984)

    Article  Google Scholar 

  6. Kechriotis, G., Manolakos, E.: Hopfield Neural Network Implementation of the Optimal CDMA Multiuser Detector. IEEE Trans.on Neural Networks 7, 131–141 (1996)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Institute of Information Engineering, School of Electronics and Information Engineering, Xi’an Jiaotong University, Email:jhk@mailst.xjtu.edu.cn, 710049, Xi’an, China

    Hongbo Tian, Qinye Yin & Ke Deng

Authors
  1. Hongbo Tian
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Qinye Yin
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ke Deng
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd, 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tian, H., Yin, Q., Deng, K. (2006). A Novel Blind Multiuser Detection Model over Flat Fast Fading Channels. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_15

Download citation

  • DOI: https://doi.org/10.1007/11760191_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34482-7

  • Online ISBN: 978-3-540-34483-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation