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Performance Analysis of Recurrent Neural Networks Based Blind Adaptive Multiuser Detection in Asynchronous DS-CDMA Systems

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Advances in Neural Networks - ISNN 2004 (ISNN 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3174))

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Abstract

With dynamics property and highly parallel mechanism, recurrent neural networks (RNN) can effectively implement blind adaptive multiuser detection at the circuit time constant level. In this paper, the RNN based blind adaptive multiuser detection is extended to ubiquitous asynchronous DS-CDMA systems, and the performance of the output signal to interference plus noise ratio, asymptotic multiuser efficiency, computational complexity, operating time, and mismatch of the detector are quantitatively analyzed. With performance analysis and numerical simulations, it is shown that RNN based blind adaptive multiuser detection can converge at the steady quickly and offer significant performance improvement over some existing popular detectors in eliminating multiple access interference and ”near-far” resistance.

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References

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Author information

Authors and Affiliations

  1. Institute of Intelligent Information Processing, Xidian University, 710071, Xi’an, China

    Ling Wang & Licheng Jiao

  2. Key Lab for Radar Signal Processing, Xidian University, 710071, Xi’an, China

    Ling Wang, Haihong Tao & Licheng Jiao

  3. School of Computer Science and Technology, Xidian University, 710071, Xi’an, China

    Fang Liu

Authors
  1. Ling Wang
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  2. Haihong Tao
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  3. Licheng Jiao
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  4. Fang Liu
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Editor information

Editors and Affiliations

  1. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, China

    Fu-Liang Yin

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

    Jun Wang

  3. School of Electronic and Information Engineering, Dalian University of Technology, 116023, Dalian, Liaoning, China

    Chengan Guo

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© 2004 Springer-Verlag Berlin Heidelberg

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Wang, L., Tao, H., Jiao, L., Liu, F. (2004). Performance Analysis of Recurrent Neural Networks Based Blind Adaptive Multiuser Detection in Asynchronous DS-CDMA Systems. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_43

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  • DOI: https://doi.org/10.1007/978-3-540-28648-6_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22843-1

  • Online ISBN: 978-3-540-28648-6

  • eBook Packages: Springer Book Archive

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