Variance Based Identification of Phase Transition in Duffing Oscillator for Weak Signal Detection
Yuan Chang, Chun Wen Li, Hao Yi
Abstract
Yuan Chang, Chun Wen Li, Hao Yi
Abstract
This paper studies the detection of weak signal detection using a Duffing Oscillator, which is sensitive to periodic signals but insensitive to noises. The system transits from chaotic to great periodic motion when coupled to the weak periodic signal to be detected. To efficiently determine the phase transition, a novel numerical criterion is proposed based on the sharp increase of variance when phase change happens. Simulation results verified the effectiveness of this method.
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This paper studies the detection of weak signal detection using a Duffing Oscillator, which is sensitive to periodic signals but insensitive to noises. The system transits from chaotic to great periodic motion when coupled to the weak periodic signal to be detected. To efficiently determine the phase transition, a novel numerical criterion is proposed based on the sharp increase of variance when phase change happens. Simulation results verified the effectiveness of this method.
Key concepts: Duffing equation, SIGNAL (programming language), Periodic function, Chaotic, Variance (accounting), Control theory (sociology), Phase (matter), Statistical physics