电子科技大学学报2017,Vol.46Issue(3):492-497,6.DOI:10.3969/j.issn.1001-0548.2017.03.003
混沌检测系统对噪声的免疫性分析及稳健建模
Analysis on Noise Immunity of Chaotic Detection System and Robustness Modeling Approach
摘要
Abstract
Recent studies suggest that noise could cause the occurrence of Duffing oscillator's phase-state transition,which is one of the most important reasons for the low system detection reliability and has been restricting the application of chaos theory in practical engineering.And hence one novel detection model containing nonlinear damping term is proposed in the paper based on generalized Van der Pol oscillator.And then it is proved feasible for weak signal detection by theoretical analyses.Compared to classical chaotic oscillators,the new model has stronger state robustness and noise immunity with equal complexity.Finally,Simulation results show that the application of the new model can reduce the impacts of noise on the phase-state transition and improve the detection reliability of weak signals.关键词
广义Van der Pol振子/非线性阻尼项/相态跃迁/弱信号检测Key words
generalized Van der Pol oscillator/nonlinear damping term/phase-state transition/weak signal detection分类
信息技术与安全科学引用本文复制引用
孙文军,芮国胜,张驰,王瑞..混沌检测系统对噪声的免疫性分析及稳健建模[J].电子科技大学学报,2017,46(3):492-497,6.基金项目
国家自然科学基金(41476089,61372027) (41476089,61372027)