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

作者：Arif, M.; Naseem, I.; Moinuddin, M.^*; Al-Saggaf, U. M.

来源：ARABIAN JOURNAL FOR SCIENCE AND ENGINEERING, 2018, 43(6): 2793-2803.

DOI：10.1007/s13369-017-2883-6

• Adaptive filtering
• q-LMS
• Steady-state analysis
• Mean-square error
• Tracking analysis

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.

• 出版日期2018-6