Phase Dependent and Independent Frequency Identification of Weak Signals Based on Duffing Oscillator via Particle Swarm Optimization

Chang, Yuan; Hao, Yi; Li, Chunwen

doi:10.1007/s00034-013-9629-9

Cited by 7 publications

(1 citation statement)

References 14 publications

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“…The method of fast Fourier transform (FFT) can improve the detection ability of weak signals, but the frequency resolution is so low that the frequency of the to-be-detected weak signal cannot be decided accurately [7]. In recent years, the weak signal detection using Duffing oscillators has caused wide public concern in the field of weak signal detection due to its low detection signal-to-noise ratios (SNR) and sensitivity to certain periodic signal [8][9][10][11]. For example, Rashtchi et al [12,13] introduced a novel method for detecting the state of the Duffing oscillator, which deeply affects the accuracy of its application.…”

Section: Introductionmentioning

confidence: 99%

Weak signal detection method based on Duffing oscillator with adjustable frequency

Ding

et al. 2015

Sci. China Inf. Sci.

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In this paper, we present a new system of weak signal detection based on Duffing oscillator with adjustable frequency, in which the frequency of periodic driving force signal can be fixed at a certain value and make the system to be in a same critical chaotic state. Therefore, by adjusting an adjustable signal frequency, the detection system we propose can detect signals of different frequencies in the same critical chaotic state, and overcome the limitation of the previous system which can only detect a signal of a specific frequency in a critical chaotic state. Meanwhile, we analyzed its system performance according to simulation and designed the circuit of the system. Based on the results of simulation and actual condition, we find the system is effective for weak signal detection. We can also find that in the proposed system, the signal detection accuracy increases firstly and then decreases with the increase in amplitude of adjustable signal, while the input noise variance is fixed. In addition, in the improved system, the smaller the variance of the input noise is, the higher the detection accuracy is, and the wider the adjustable operating range is. CitationMa S S, Lu M, Ding J F, et al. Weak signal detection method based on Duffing oscillator with adjustable frequency.

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