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Multi-path Channel Estimation Using Empirical Likelihood Algorithm with Non-Gaussian Noise

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The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 246))

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Abstract

In this paper a novel algorithm, empirical likelihood, is employed to estimate the channel taps of multi-path channel under Non-Gaussian noise. To illustrate, multi-path channel is modeled as a FIR filter and non-Gaussian noise is taken as mixed Additive White Gaussian and impulse noise for simplicity. Thus the transmitted signal, being impacted by the multi-path fading effect and being disturbed by the non-Gaussian noise, would be sampled to form the received signal. And simulations show that the proposed algorithm is capable of obtaining good MSE and bit error rate BER performances.

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References

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Acknowledgement

This work was supported by the National Natural Science Foundation of China (61271180), Major National Science and Technology Projects (2012zx03001022) and Special Foundation for State Internet of Things Program (Radio frequency and communication security testing service platform of Internet of things).

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Authors and Affiliations

  1. Key Lab of Universal Wireless Communications, MOE Wireless Network Lab, Beijing University of Posts and Telecommunications, Beijing, China

    Pengbiao Wang, Yan Zhang, Long Zhao, Bin Li & Chenglin Zhao

Authors
  1. Pengbiao Wang
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  2. Yan Zhang
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  3. Long Zhao
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  4. Bin Li
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  5. Chenglin Zhao
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Corresponding author

Correspondence to Pengbiao Wang .

Editor information

Editors and Affiliations

  1. College of Physical and Electronic Infor, Tianjin Normal University, Tianjin, People's Republic of China

    Baoju Zhang

  2. College of Physical and Electronic Infor, Tianjin Normal University, Tianjin, People's Republic of China

    Jiasong Mu

  3. College of Physical and Electronic Infor, Tianjin Normal University, Tianjin, People's Republic of China

    Wei Wang

  4. Department of Electrical Engineering, University of Texas at Arlington, Arlington, Texas, USA

    Qilian Liang

  5. School of electronic engineering, University of Electronic Science and Tec, Chengdu, People's Republic of China

    Yiming Pi

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© 2014 Springer International Publishing Switzerland

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Wang, P., Zhang, Y., Zhao, L., Li, B., Zhao, C. (2014). Multi-path Channel Estimation Using Empirical Likelihood Algorithm with Non-Gaussian Noise. In: Zhang, B., Mu, J., Wang, W., Liang, Q., Pi, Y. (eds) The Proceedings of the Second International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol 246. Springer, Cham. https://doi.org/10.1007/978-3-319-00536-2_91

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  • DOI: https://doi.org/10.1007/978-3-319-00536-2_91

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-00535-5

  • Online ISBN: 978-3-319-00536-2

  • eBook Packages: EngineeringEngineering (R0)

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