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http://dx.doi.org/10.7776/ASK.2016.35.1.055

An algebraic step size least mean fourth algorithm for acoustic communication channel estimation  

Lim, Jun-Seok (Department of Electrical Engineering, Sejong University)
Publication Information
The Journal of the Acoustical Society of Korea / v.35, no.1, 2016 , pp. 55-62 More about this Journal
Abstract
The least-mean fourth (LMF) algorithm is well known for its fast convergence and low steady-state error especially in non-Gaussian noise environments. Recently, there has been increasing interest in the least mean square (LMS) algorithms with variable step size. It is because the variable step-size LMS algorithms have shown to outperform the conventional fixed step-size LMS in the various situations. In this paper, a variable step-size LMF algorithm is proposed, which adopts an algebraic optimal step size as a variable step size. It is expected that the proposed algorithm also outperforms the conventional fixed step-size LMF. The superiority of the proposed algorithm is confirmed by the simulations in the time invariant and time variant channels.
Keywords
Acoustic communication; Channel estimation; LMF; Algebraic optimal step-size;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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