A Memristor Based Chaotic Oscillator for Weak Signal Detection and Its Circuitry Realization

Abstract A new type of weak signal detection system that combines the memristor and Van der pol-Duffing chaotic system has been proposed in this paper, and the dynamic characteristics of the system are studied. It is observed that the system can change from a chaotic state to a periodic state under different driving force amplitudes. Moreover, as compared with several classical chaotic oscillators, the numerical simulation results show that the system has stronger anti-noise performance with the detectable signal-to-noise ratio reaches -163dB, and has a wider detection range. Its detection accuracy is up to 1 × 10 −9 . More importantly, this paper provides the circuit implementation scheme of the system, and the weak signal can be detected with our designed circuit. This may offer a possible way for weak signal detection system with good performance in anti-noise performance, detection range and accuracy.

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Weak Signal Detection System Based on Lock-in Amplifier Technology

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.389.489 ◽

2013 ◽

Vol 389 ◽

pp. 489-493

Author(s):

Yong Lv ◽

Chun Hui Niu ◽

Yue Qiang Li ◽

Qing Shan Chen ◽

Xiao Ying Li ◽

...

Keyword(s):

Signal Detection ◽

Detection System ◽

Signal To Noise Ratio ◽

Weak Signal ◽

Weak Signal Detection ◽

Pass Filter ◽

Low Pass Filter ◽

Low Pass ◽

Phase Sensitive ◽

Lock In

In order to detect the weak signal deeply buried in the noise, a weak signal detection system based on lock-in amplifier is proposed. The system includes the preamplifier circuit, active low pass filter circuit, AC amplifying circuit and phase sensitive demodulation circuit. Test results show that it can greatly increase the signal-to-noise ratio (SNR) up to 12.7db.

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Weak photoacoustic signal detection based on the differential duffing oscillator

International Journal of Modern Physics B ◽

10.1142/s0217979218501035 ◽

2018 ◽

Vol 32 (09) ◽

pp. 1850103 ◽

Cited By ~ 4

Author(s):

Chenjing Li ◽

Xuemei Xu ◽

Yipeng Ding ◽

Linzi Yin ◽

Beibei Dou

Keyword(s):

Signal Detection ◽

Photoacoustic Spectroscopy ◽

Detection System ◽

Signal To Noise Ratio ◽

Duffing Oscillator ◽

Threshold Value ◽

Photoacoustic Signal ◽

Weak Signal ◽

Weak Signal Detection ◽

First Time

In view of photoacoustic spectroscopy theory, the relationship between weak photoacoustic signal and gas concentration is described. The studies, on the principle of Duffing oscillator for identifying state transition as well as determining the threshold value, have proven the feasibility of applying the Duffing oscillator in weak signal detection. An improved differential Duffing oscillator is proposed to identify weak signals with any frequency and ameliorate the signal-to-noise ratio. The analytical methods and numerical experiments of the novel model are introduced in detail to confirm its superiority. Then the signal detection system of weak photoacoustic based on differential Duffing oscillator is constructed, it is the first time that the weak signal detection method with differential Duffing oscillator is applied triumphantly in photoacoustic spectroscopy gas monitoring technology.

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Design of a New 3D Chaotic System Producing Infinitely Many Coexisting Attractors and Its Application to Weak Signal Detection

International Journal of Bifurcation and Chaos ◽

10.1142/s0218127421502357 ◽

2021 ◽

Vol 31 (15) ◽

Author(s):

Bing Liu ◽

Xiaolin Ye ◽

Gang Hu

Keyword(s):

Signal Detection ◽

Chaotic System ◽

Chaotic Behavior ◽

Initial Conditions ◽

Control Function ◽

Detection System ◽

Chaotic Oscillator ◽

Weak Signal ◽

Weak Signal Detection ◽

Coexisting Attractors

This paper proposes a new 3D chaotic system, which can produce infinitely many coexisting attractors. By introducing a boosted control of cosine function to an original chaotic system, as the initial conditions periodically change, the proposed chaotic system can spontaneously output infinitely many chaotic sequences of different amplitudes in two directions in the phase plane. This means that the proposed system can output more key information as a pseudo-random signal generator (PRSG). This is of great significance in the research of weak signal detection. In comparison with the original chaotic system, the chaotic behavior of the proposed system is obviously enhanced due to the introduction of the boosted control function. Then, by adding the mathematical models of a weak signal and a noise signal to the proposed chaotic system, a new chaotic oscillator, which is sensitive to the weak signal, can be restructured. With the change of weak signal amplitude and angular frequency, the dynamical state of the detection system will generate a big difference, which indicates that the weak signal can be detected successfully. Finally, the proposed chaotic system model is physically realized by DSP (Digital Signal Processing), which shows its feasibility in industrial implementation. Especially, since a third-order chaotic system is the lowest-dimensional continuous system that can generate infinitely many coexisting attractors, the proposed chaotic system is of great value in the basic research of chaos.

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Analysis of a New Hidden Attractor Coupled Chaotic System and Application of Its Weak Signal Detection

Mathematical Problems in Engineering ◽

10.1155/2020/8849283 ◽

2020 ◽

Vol 2020 ◽

pp. 1-15

Author(s):

Wenhui Luo ◽

Qingli Ou ◽

Fei Yu ◽

Li Cui ◽

Jie Jin

Keyword(s):

Lyapunov Exponent ◽

Signal Detection ◽

Chaotic System ◽

Detection System ◽

Circuit Simulation ◽

Basins Of Attraction ◽

Detection Accuracy ◽

Weak Signal ◽

Weak Signal Detection ◽

Hidden Attractor

In order to improve the complexity of the chaotic system and the accuracy of the weak signal detection, this paper propose a new hidden attractor coupled chaotic system and a corresponding weak signal detection system, which can be used to obtain the phase diagram of the proposed system using the fourth order of the Runge-Kutta method. The dynamic behavior of the chaotic system is analyzed through the bifurcation diagram, Lyapunov exponent, and power spectrum. The Lyapunov exponent is used to depict the basins of attraction for the system. After research, it is discovered that symmetry exists in the system. Comparative analysis has demonstrated that the system has higher detection accuracy and excellent antinoise performance. Finally, the circuit simulation and FPGA realization of the system indicated that the numerical simulation results are consistent with the FPGA implementation results, proving the theoretical analysis to be correct and the accuracy of the detection results.

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A Novel Method of High Frequency Weak Signal Detection Based on Chaotic Oscillator System and Wavelet Transform System

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.130-134.2770 ◽

2011 ◽

Vol 130-134 ◽

pp. 2770-2773

Author(s):

Shuo Shi ◽

Jin Yan Li ◽

Xue Mai Gu

Keyword(s):

Wavelet Transform ◽

Signal Detection ◽

High Frequency ◽

Signal To Noise Ratio ◽

Chaotic Oscillator ◽

Weak Signal ◽

Weak Signal Detection ◽

Signal To Noise ◽

Weak Signals ◽

Novel Method

Based on chaotic oscillator system and wavelet transform system, this paper proposes a novel method on high frequency weak signal detection. Chaotic system is a typical non-linear system which is sensitive to certain signals and immune to noise at the same time. Its properties demonstrate the potential application on weak signal detection. Due to the good localization in both time domain and frequency domain, the wavelet transform method can automatically adjust to different frequency components and increase the Signal-to-Noise Ratio. Starting from the analysis of advantages and disadvantages of two signal detection methods, we put forward a combined method that takes advantage of each method to detect weak signals with high frequency. The simulation results show that the novel method can detect weak signals with frequency in an order of magnitude of 107Hz, and the input Signal-to-Noise Ratio threshold could be-42.5dB.

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The Comparison between Chaos Algorithm and Music Algorithm Applied in Weak Signal Detection

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.427-429.1552 ◽

2013 ◽

Vol 427-429 ◽

pp. 1552-1556

Author(s):

Chen Zhang ◽

Zhen Bin Gao ◽

Jing Chun Li ◽

Biao Huang

Keyword(s):

Signal Detection ◽

Array Signal Processing ◽

Signal To Noise Ratio ◽

Weak Signal ◽

Weak Signal Detection ◽

Music Algorithm ◽

Verilog Hdl ◽

Simulation Experiments ◽

Chaos Algorithm ◽

Core Part

Chaos algorithm is essential in weak signal detection because of its sensibility to weak signals and immunity to noise. This paper applies subspace algorithm which originates from array signal processing to weak signal detection field because of its lower signal to noise ratio. Firstly, the article introduces the principles of two algorithms, then analyses simulation experiments results of real signal data. After that, a conclusion for two algorithms comparison by estimation of computation cost, complexity of implementation and hardware resources occupied is drawn. At the end, the writer designs a duffing chaos module which is the core part of chaotic detection with verilog-hdl.

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