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Particle Filtering Technique for Fast Fading Shadow Power Estimation in Wireless Communication

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Advances in Signal Processing and Intelligent Recognition Systems (SIRS 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 678))

Abstract

There is a crucial importance of estimation of fading power in a mobile wireless communication system. This estimation is used for many handoff algorithms, power control, and adaptive transmission methods. This estimation of power loss can be used to reduce discrepancies and provide better wireless communication service to the user. Until now the window based weighted sample average estimator was used because of its simplicity. But it has its own disadvantages and hence use of Kalman filtering and adaptive Kalman filtering was proposed. Based on an autoregressive model of shadow fading power, particle filter algorithm is proposed in this paper in order to increase the efficiency of estimation and to obtain accurate results. The simulation and analysis presented in this paper have provided promising and supporting results.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Amrita School of Engineering, Coimbatore, Amrita Vishwa Vidyapeetham, Amrita University, Coimbatore, India

    S. Jaiyant Gopal, J. P. Anita & P. Sudheesh

Authors
  1. S. Jaiyant Gopal
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  2. J. P. Anita
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  3. P. Sudheesh
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Corresponding author

Correspondence to J. P. Anita .

Editor information

Editors and Affiliations

  1. School of CS/IT, Indian Institute of Information Technology and Management, Trivandrum, Kerala, India

    Sabu M. Thampi

  2. Department of Electrical and Computer Engineering, Ryerson University, Toronto, Ontario, Canada

    Sri Krishnan

  3. Department of Computer Science, University of Salamanca, Salamanca, Salamanca, Spain

    Juan Manuel Corchado Rodriguez

  4. Electronics and Communication Sciences Unit, Indian Statistical Institute, Kolkata, West Bengal, India

    Swagatam Das

  5. Department of Systems and Computer Networks, Wroclaw University of Science and Technology, Wroclaw, Poland

    Michal Wozniak

  6. Faculty of Engineering and Technology, Liverpool John Moores University, Liverpool, United Kingdom

    Dhiya Al-Jumeily

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Jaiyant Gopal, S., Anita, J.P., Sudheesh, P. (2018). Particle Filtering Technique for Fast Fading Shadow Power Estimation in Wireless Communication. In: Thampi, S., Krishnan, S., Corchado Rodriguez, J., Das, S., Wozniak, M., Al-Jumeily, D. (eds) Advances in Signal Processing and Intelligent Recognition Systems. SIRS 2017. Advances in Intelligent Systems and Computing, vol 678. Springer, Cham. https://doi.org/10.1007/978-3-319-67934-1_10

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  • DOI: https://doi.org/10.1007/978-3-319-67934-1_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67933-4

  • Online ISBN: 978-3-319-67934-1

  • eBook Packages: EngineeringEngineering (R0)

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