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Design of an Intelligent q-LMS Algorithm for Tracking a Non-stationary Channel

  • Research Article - Electrical Engineering
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Abstract

Tracking of a time-varying channel is a challenging task, especially when channel is non-stationary. In this work, we propose a time-varying q-LMS algorithm to efficiently track a random-walk channel. To do so, we first perform tracking analysis of the q-LMS algorithm in a non-stationary environment and then derive the expressions for the transient and steady-state tracking excess mean-square-error (EMSE). Thus, we evaluate an optimum value of q parameter which minimizes the tracking EMSE. Next, by utilizing the derived optimum q, we design a time-varying mechanism to vary the parameter q according to the estimation of instantaneous error energy which provides faster convergence in the initial phase while attain a lower EMSE near final stages of adaptation.

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Authors and Affiliations

  1. Electrical Engineering Department, Karachi Institute of Economics and Technology, Karachi, Pakistan

    M. Arif & I. Naseem

  2. School of Electrical, Electronic and Computer Engineering, University of Western Australia, Perth, Australia

    I. Naseem

  3. Electrical and Computer Engineering Department, King Abdul Aziz University, Jeddah, 21859, Saudi Arabia

    M. Moinuddin & U. M. Al-Saggaf

  4. Center of Excellence in Intelligent Engineering Systems (CEIES), King Abdul Aziz University, Jeddah, 21859, Saudi Arabia

    M. Moinuddin & U. M. Al-Saggaf

Authors
  1. M. Arif
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  2. I. Naseem
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  3. M. Moinuddin
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  4. U. M. Al-Saggaf
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Corresponding author

Correspondence to M. Moinuddin.

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Arif, M., Naseem, I., Moinuddin, M. et al. Design of an Intelligent q-LMS Algorithm for Tracking a Non-stationary Channel. Arab J Sci Eng 43, 2793–2803 (2018). https://doi.org/10.1007/s13369-017-2883-6

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  • DOI: https://doi.org/10.1007/s13369-017-2883-6

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