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Cell mapping-based chaotic detection criterion method

A chaotic detection and criterion technology, applied in the field of signal detection, can solve the problems of long-time Lyapunov index, difficult to satisfy, and unable to realize automation, so as to facilitate data processing and speed up detection

Active Publication Date: 2014-09-10
GUANGZHOU UNIVERSITY
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AI Technical Summary

Problems solved by technology

At present, there are few practical methods for judging the motion state of the system, and it will be difficult to apply
For example, the method of calculating the Lyapunov index takes a long time to obtain an accurate Lyapunov index, which is difficult to meet the requirements of many detection systems
If it is recognized by human eyes, it cannot be automated

Method used

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  • Cell mapping-based chaotic detection criterion method
  • Cell mapping-based chaotic detection criterion method
  • Cell mapping-based chaotic detection criterion method

Examples

Experimental program
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Effect test

Embodiment

[0037] Please refer to figure 1 As shown, a method of chaos detection criterion based on cell mapping, which includes the following steps:

[0038] S10. Obtain the weak signal (Weak Signal) to be tested. The weak signal has two meanings: one means that the amplitude of the useful signal is very weak compared to noise or interference; the other means that the absolute value of the useful signal amplitude is extremely Small, such as detecting voltage signals of uV, nV, pV magnitude. For various weak measured objects, such as weak light, weak magnetism, weak sound, small displacement, small capacitance, micro flow, micro pressure, micro vibration and micro temperature difference, etc., they are generally converted into micro currents by corresponding sensors Or low voltage to form a weak electrical signal, and then the amplitude is amplified by the amplifier in order to reflect the measured size.

[0039] S20, according to the range and precision of the required measurement, a ...

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Abstract

The invention discloses a cell mapping-based chaotic detection criterion method. The method comprises the following steps that: 1, signals to be tested epsilon cos (omega t) are added to a Duffing equation so that a chaotic oscillator array of the signals to be tested epsilon cos (omega t) can be constructed; step 2, a cell space of the chaotic oscillator array is constructed, and all attractors and attraction domains corresponding to each attractor in the cell space are determined one by one through a cell mapping method; step 3, phase trajectories of each chaotic oscillator are obtained, so that the movement states of each chaotic oscillator can be determined; and step 4, the amplitude values and frequency values of the signals to be tested epsilon cos (omega t) are determined. With the cell mapping-based chaotic detection criterion method of the invention adopted, not only can automation be realized, but also detection speed can be accelerated.

Description

technical field [0001] The invention relates to the technical field of signal detection, in particular to a method for detecting weak periodic signals through chaos theory and performing criterion on the detection results through cell mapping. Background technique [0002] In the chaos detection system, when the structural parameters of the system are stable, a slight change in the initial value will cause a change in its motion state. By detecting the huge difference between the motion trajectories, the slight change in the initial value can be detected, which is Fundamentals of Chaos Measurements. The chaotic system is sensitive to structural parameters. When the structural parameters of the system change, the output state of the system will also change accordingly. Therefore, the chaotic system can be regarded as an amplifier with infinite multiples, thus forming a high-precision motor Speed ​​measurement system. In addition, the chaotic oscillator has a certain immunit...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01D21/00
Inventor 杨汝李斌华许百如何清平
Owner GUANGZHOU UNIVERSITY
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