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Chirp signal detection using the Duffing oscillator

Authors: Carlos R. Bermudez-Gómez; Rogerio A. Enríquez-Caldera; Jorge Martínez-Carballido;

Chirp signal detection using the Duffing oscillator

Abstract

The chaotic oscillator has become an important tool in the analysis of harmonic signals with low signal to noise ratio. On the other hand, traditionally, frequency modulated (FM) signals have always been studied through conventional techniques of time-frequency analysis. Recently, the Duffing oscillator has shown to be a powerful tool to detect frequencies for periodic signals because of its chaotic properties. It is for this reason that this paper presents a chirp signal analysis in the presence of noise using a Duffing oscillator. The oscillator's chaotic characteristic provides information on how the frequency changes in a signal therefore, for the chirp case it is also convenient to apply time-frequency techniques to obtain the frequency shift for such signals. Here, it is found that is possible to use the Duffing oscillator for the analysis of chirp signals with −15 dB of SNR. The time-frequency techniques used in this paper are the Short Time Fourier Transform, the Wigner-Ville Distribution, its corresponding Choi-Williams and end with a proposed array of Duffing oscillators.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Average
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