LMS、NLMS和LMF算法在时变UWB信道跟踪中的性能

S. Nunoo, U. Chude-Okonkwo, R. Ngah
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引用次数: 3

摘要

关于LMS算法在非平稳环境下的性能已经有了广泛的讨论。在某些情况下,将其在这种环境下的性能与其他自适应算法进行了比较。然而,在这方面的大多数现有工作都集中在窄带信道上。在本文中,我们研究了LMS、NLMS和LMF算法在跟踪时变超宽带(UWB)信道中的性能。通道测量是在室内环境下进行的,所得到的通道脉冲响应用于分析。结果表明,LMF算法和NLMS算法在时变UWB信道中的性能优于LMS算法,其中NLMS算法的性能最好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance of LMS, NLMS and LMF algorithms in tracking time-varying UWB channels
There has been extensive discussions on the performance of the LMS algorithm in nonstationary environment. In some instances its performance in such environments has been compared with that of other adaptive algorithms. However, most existing works treated in this respect focus on narrowband channels. In this paper, we investigate the performance of the LMS, NLMS and LMF algorithms in tracking time-varying ultra wideband (UWB) channels. Channel measurements were conducted for an indoor environment and the resultant channel impulse response is used in the analysis. The results show that the LMF and NLMS algorithms outperform the LMS algorithm in time-varying UWB channels with the NLMS providing the best performance.
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