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首页> 外文期刊>Signal Processing: The Official Publication of the European Association for Signal Processing (EURASIP) >THE PERFORMANCE OF THE HYBRID LMS ADAPTIVE ALGORITHM
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THE PERFORMANCE OF THE HYBRID LMS ADAPTIVE ALGORITHM

机译：混合LMS自适应算法的性能

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摘要

The hybrid least mean square (HLMS) adaptive filter is a filter with an adaptation algorithm that is a combination of the conventional LMS algorithm and the normalized LMS (NLMS) algorithm. In this paper, the performance of the HLMS adaptive filtering algorithm is investigated. To do so, an analytical expression, in terms of the transient mean square error (MSE), is derived with application to the adaptive line enhancer (ALE). Based on this expression, we are able to examine the convergence properties of the FILMS. Simulation data using the ALE as an application verifies the accuracy of the analytical results. The performance of the FILMS algorithm is also compared with the conventional LMS algorithm as well as the NLMS algorithm. From the simulation results, we observed that, in general, the FILMS algorithm performs more robustly than the conventional LMS and the NLMS algorithms. Since the FILMS algorithm is a combination of the LMS algorithm and the NLMS algorithm, the selection of the optimum switching point of the FILMS algorithm is also addressed using a numerical approach. Many interesting characteristics of the switching point are obtained which show the relationship with the relevant parameters of the FILMS adaptive filter. The sensitivity of the selection of switching point is also examined.
机译：混合最小均方 （HLMS） 自适应滤波器是一种自适应算法的滤波器，该算法是传统 LMS 算法和归一化 LMS （NLMS） 算法的组合。本文研究了HLMS自适应滤波算法的性能。为此，根据瞬态均方误差 （MSE） 推导了一个解析表达式，并将其应用于自适应线增强器 （ALE）。基于这个表达式，我们能够检查FILMS的收敛特性。使用ALE作为应用程序的仿真数据验证了分析结果的准确性。还比较了FILMS算法与传统LMS算法和NLMS算法的性能。从仿真结果中，我们观察到，总体而言，FILMS算法的性能比传统的LMS和NLMS算法更可靠。由于FILMS算法是LMS算法和NLMS算法的组合，因此FILMS算法的最佳开关点的选择也使用数值方法解决。获得了开关点的许多有趣特性，这些特性显示了与FILMS自适应滤波器相关参数的关系。还检查了开关点选择的灵敏度。

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