Weak signal detection based on chaotic theory
Zhu Zhi
Abstract
Zhu Zhi
Abstract
The chaotic characteristic of intermittent chaotic model——Duffing oscillator is analyzed,the nonequilibrium phase change of oscillator is sensitive to small signal and immune against white noise and the periodic interfering signal having larger angular frequency difference to the referential signal.The chaotic oscillator array is applied to detect weak signal in noise background,and Melnikov method is adopted as chaotic criterion which is easy to be directly calculated.The simulation results indicate this detection method is simple and effective.Detection precision is high.
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The chaotic characteristic of intermittent chaotic model——Duffing oscillator is analyzed,the nonequilibrium phase change of oscillator is sensitive to small signal and immune against white noise and the periodic interfering signal having larger angular frequency difference to the referential signal.The chaotic oscillator array is applied to detect weak signal in noise background,and Melnikov method is adopted as chaotic criterion which is easy to be directly calculated.The simulation results indicate this detection method is simple and effective.Detection precision is high.
Key concepts: Duffing equation, Chaotic, SIGNAL (programming language), Noise (video), White noise, Stochastic resonance, Control theory (sociology), Detection theory