Unbiased Estimation of Sinusoidal Signal Parameters via Discrete-Time Frequency-Locked-Loop Filters

被引:30
|
作者
Tedesco, Francesco [1 ]
Casavola, Alessandro [1 ]
Fedele, Giuseppe [1 ]
机构
[1] Univ Calabria, Dipartimento Ingn Informat Modellist Elettron & S, I-87036 Arcavacata Di Rende, Italy
关键词
Adaptive system; discretization methods; estimation; signals identification; stability of NL systems; 2ND-ORDER GENERALIZED INTEGRATOR; IDENTIFICATION; NOISE;
D O I
10.1109/TAC.2016.2580534
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel class of discrete-time frequency-locked-loop nonlinear (FLL) filters is introduced and their relevance for the on-line estimation of the parameters of a possibly time-varying sinusoidal signal is discussed. Continuous-time nonlinear FLL filters have been proposed in the literature because of their circuital simplicity and ability to provide unbiased estimates of the instantaneous frequency, phase and amplitude of a time- varying sinusoidal signal simultaneously. It is shown in this note that standard discretization techniques may fail to generate discrete-time FLL filters exhibiting the same good properties of the continuous-time domain. In particular, biased frequency estimates are usually produced by these discrete-time filters. In this note, such a drawback is overcome because the proposed discrete-time FLL filters are proved to enjoy semi-globally exponential stability and their estimates are unbiased. A final example is presented for assessment purposes where also comparisons with other discrete-time filters, among which some synthesized by means of standard discretization techniques, are provided.
引用
收藏
页码:1484 / 1490
页数:7
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