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Channel Estimation Using Adaptive Cuckoo Search Based Wiener Filter

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Advances in Signal Processing and Intelligent Recognition Systems (SIRS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1209))

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Abstract

In recent years nature based computing plays an important role in various applications. In this paper, a novel channel estimator is proposed based on nature based computing. The cuckoo search (CS) is a stochastic metaheuristic algorithm is adopted and implemented for the channel estimator due to use of a single control parameter which makes it superior compared with others. The implementation is done at different signal to noise ratio (SNR) condition. M-ary quadrature amplitude modulation (M-QAM) modulation with zero phase offset is used for analysis. Performance of M-QAM scheme, with the proposed channel estimation method over Rayleigh, Rician, Nakagami and Weibull fading is investigated. Performance of channel estimator is determined by mean square error (MSE). On comparison, the proposed channel estimation method gives better MSE when compared to Least Squares (LS) and minimum MSE (MMSE) methods.

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Author information

Authors and Affiliations

  1. Department of ECE, MIC College of Technology, Kanchikacherla, AP, India

    Gopala Krishna Mellempudi

  2. Department of ECE, UCEK, JNTUK, Kakinada, AP, India

    Vinay Kumar Pamula

Authors
  1. Gopala Krishna Mellempudi
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  2. Vinay Kumar Pamula
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Corresponding author

Correspondence to Gopala Krishna Mellempudi .

Editor information

Editors and Affiliations

  1. Indian Institute of Information Technology, Trivandrum, India

    Sabu M. Thampi

  2. Indian Institute of Technology Kanpur, Kanpur, India

    Rajesh M. Hegde

  3. Ryerson University, Toronto, ON, Canada

    Sri Krishnan

  4. Indian Institute of Technology Kharagpur, Kharagpur, India

    Jayanta Mukhopadhyay

  5. State University of New York at Buffalo, Buffalo, NY, USA

    Vipin Chaudhary

  6. Florida Atlantic University, Boca Raton, FL, USA

    Oge Marques

  7. University of Florida, Gainesville, FL, USA

    Selwyn Piramuthu

  8. University of Salamanca, Salamanca, Spain

    Juan M. Corchado

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Mellempudi, G.K., Pamula, V.K. (2020). Channel Estimation Using Adaptive Cuckoo Search Based Wiener Filter. In: Thampi, S., et al. Advances in Signal Processing and Intelligent Recognition Systems. SIRS 2019. Communications in Computer and Information Science, vol 1209. Springer, Singapore. https://doi.org/10.1007/978-981-15-4828-4_27

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  • DOI: https://doi.org/10.1007/978-981-15-4828-4_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-4827-7

  • Online ISBN: 978-981-15-4828-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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