Open AccessFrequency and Offset Online Estimation of Sinusoidal Signals Based on High‐Order Nonlinear Continuous Differentiator
Author(s) -
Wang Hongwei,
Zhang Wei,
Zuo Junyi,
Wang Heping
Publication year - 2017
Publication title -
chinese journal of electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.267
H-Index - 25
eISSN - 2075-5597
pISSN - 1022-4653
DOI - 10.1049/cje.2017.01.007
Subject(s) - differentiator , offset (computer science) , nonlinear system , control theory (sociology) , computer science , frequency offset , mathematics , bandwidth (computing) , telecommunications , physics , artificial intelligence , orthogonal frequency division multiplexing , channel (broadcasting) , control (management) , quantum mechanics , programming language
Real‐time parameter identification of sinusoidal signals is an essential research topic due to its broad utilization in both theoretical studies and engineering practice. A tracking differentiator based online estimation framework has been proposed to simultaneously identify frequencies and offset of given multi‐sinusoidal signal. Tracking differentiator is exploited in presented framework to track the time derivatives of measurements which are then utilized to estimate the frequencies and offset. We introduce a tracking differentiator called high‐order nonlinear continuous differentiator into the framework, giving birth to a new estimation algorithm. Comparative experiments on both single and two sinusoidal signal are simulated, indicating the superiority of proposed method on both convergent speed and estimation accuracy.