Open AccessAn Algorithm for Output Spectrum Analysis of Nonlinear System with Correlative Sources Based on Power Series
Author(s) -
Hui XU,
Donglin SU
Publication year - 2021
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.2020.08.018
Subject(s) - amplitude , series (stratigraphy) , nonlinear system , spectrum (functional analysis) , correlative , algorithm , power (physics) , spectral density , control theory (sociology) , frequency spectrum , mathematics , signal (programming language) , computer science , power series , mathematical analysis , control (management) , physics , telecommunications , optics , artificial intelligence , programming language , paleontology , linguistics , philosophy , quantum mechanics , biology
An algorithm for output spectrum analysis of nonlinear system with correlative sources is proposed. First, the output terms of nonlinear system are analyzed based on the power series. Then, the algorithm is proposed. In the proposed method, different terms with the same frequency are picked out and added together by considering different phases, and the amplitudes of the output spectrum are obtained from the summarized results. Two numerical examples are used to verify the proposed algorithm. It is found that the amplitudes of output spectrum vary with different combinations of phases. Finally, the proposed algorithm is applied to control the output spectrum. Results show that the output amplitude of a specific frequency can be suppressed through changing both the amplitudes and the phases of the input signals.