Adaptive system identification using robust LMS/F algorithm

作者：Gui Guan^*; Peng Wei; Adachi Fumiyuki

来源：International Journal of Communication Systems, 2014, 27(11): 2956-2963.

DOI：10.1002/dac.2517

• LMS
• LMF
• LMS/F
• adaptive system identification (ASI)

Adaptive system identification (ASI) problems have attracted both academic and industrial attentions for a long time. As one of the classical approaches for ASI, performance of least mean square (LMS) is unstable in low signal-to-noise ratio (SNR) region. On the contrary, least mean fourth (LMF) algorithm is difficult to implement in practical system because of its high computational complexity in high SNR region, and hence it is usually neglected by researchers. In this paper, we propose an effective approach to identify unknown system adaptively by using combined LMS and LMF algorithms in different SNR regions. Experiment-based parameter selection is established to optimize the performance as well as to keep the low computational complexity.

• 出版日期2014-11