A direct adaptive method for discriminating sinusoidal components with nearby frequencies

Gilberto Pin, T. Parisini
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引用次数: 4

Abstract

This paper deals with the on-line simultaneous estimation of frequencies, amplitudes, and phases of a pair of sinusoidal signals with values of the frequencies that are close to each other. The proposed nonlinear parametric identification method is based on the interconnection of two quadrature-based adaptive filters, originally conceived for the extraction of a single sinusoidal signal. The distinctive feature of quadrature based filters, inherited by the method under consideration, consists in performing the adaptation in a parametric space having higher dimensions than the number of unknowns. The stability analysis, based on two-time scale averaging arguments, shows the existence of multiple asymptotically stable manifolds corresponding to the simultaneous detection of the two sinusoidal signals.
一种直接自适应的方法来判别与附近频率的正弦分量
本文研究了频率相近的一对正弦信号的频率、幅值和相位的在线同时估计。所提出的非线性参数识别方法是基于两个基于正交的自适应滤波器的互连,最初是为提取单个正弦信号而设计的。所考虑的方法继承了基于正交的滤波器的独特特征,即在具有比未知数数量更高维度的参数空间中进行自适应。基于双时间尺度平均参数的稳定性分析表明,两个正弦信号同时检测存在多个渐近稳定流形。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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