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

M. Arif, I. Naseem, M. Moinuddin, U. M. Al-Saggaf

Research output: Contribution to journalArticle

1 Citation (Scopus)


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.

Original languageEnglish
Pages (from-to)2793-2803
Number of pages11
JournalArabian Journal for Science and Engineering
Issue number6
Publication statusPublished - 1 Jun 2018

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