- Volume 35 Issue 1
DOI QR Code
An algebraic step size least mean fourth algorithm for acoustic communication channel estimation
음향 통신 채널 추정기를 이용한 대수학적 스텝크기 least mean fourth 알고리즘
- Received : 2015.07.31
- Accepted : 2015.10.02
- Published : 2016.01.31
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.
Acoustic communication;Channel estimation;LMF;Algebraic optimal step-size
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