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

음향 통신 채널 추정기를 이용한 대수학적 스텝크기 least mean fourth 알고리즘

Lim, Jun-Seok
임준석

  • Received : 2015.07.31
  • Accepted : 2015.10.02
  • Published : 2016.01.31

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

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