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Weak signal detection method based on adaptive fractional order stochastic resonance system

A weak signal detection and stochastic resonance technology, applied in complex mathematical operations, electrical digital data processing, special data processing applications, etc.

Active Publication Date: 2016-03-30
CHINA JILIANG UNIV
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Problems solved by technology

The integer-order traditional bistable system, which is relatively mature in research and widely used at this stage, has great limitations on the input of weak signals and noise signals, which means that the application occasions will be limited

Method used

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  • Weak signal detection method based on adaptive fractional order stochastic resonance system
  • Weak signal detection method based on adaptive fractional order stochastic resonance system
  • Weak signal detection method based on adaptive fractional order stochastic resonance system

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Embodiment Construction

[0016] The traditional integer-order stochastic resonance model is bistable stochastic resonance, and its potential function is

[0017] V ( x ) = - a 2 x 2 + b 4 x 4 - - - ( 1 )

[0018] In the traditional bistable system, there are only two parameters a and b, and its structure is relatively simple, so it cannot be effectively applied to the detection of various weak signals. It has limitations, that is, the objective conditions for weak signals and noise signals Has greater restrictions. The present invention uses a fractional-order bistable system with a more complex structure, and its potential function is

[0019] U ( x ) = a · exp ( - x 2 b 2 ) - c 2 x 2 + k | x | q q - - - ( 2 )

[0020] According to the Caputo definition in the fractional theory, the Langevin equation of this system can be expressed as follows:

[0021] D ...

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Abstract

The present invention discloses a weak signal detection method based on an adaptive fractional order stochastic resonance system. The method comprises: firstly, preprocessing a fractional order bistable system, and setting basic parameters of a weak signal and a noise signal; and then setting an initial parameter of an immune algorithm and a parameter optimization range of the fractional order bistable system according to priori knowledge, optimizing a bistable system parameter by utilizing the immune algorithm using a signal-to-noise ratio as an effect evaluation function, and adaptively finding a corresponding bistable system parameter value when the signal-to-noise ratio is the greatest so as to generate stochastic resonance or enable a stochastic resonance effect to be reinforced. According to the weak signal detection method disclosed by the present invention, the immune algorithm is used for carrying out parameter optimization so as to achieve adaptive stochastic resonance. According to the weak signal detection method disclosed by the present invention, an immunology intelligent algorithm is combined with adaptive control; the problem of limitation to stochastic resonance application, which is caused by the defects of a conventional bistable system and difficulty in selection of a system parameter or inaccuracy for selection of the system parameter, is solved, and detection of a weak signal is effectively achieved.

Description

Technical field [0001] The invention relates to a signal detection method, in particular to a detection method used when a weak signal is submerged by a high-frequency noise signal. Background technique [0002] With the development of the times, there will be weak signals in field applications in all walks of life, such as weak light in optical measurement, weak magnetism in the electromagnetic industry, micro flow in flow detection, and micro temperature difference in temperature measurement. The current method for detecting weak signals generally uses a corresponding sensor to convert the detected amount into a weak current or voltage, and then amplify it for measurement. However, because the detected signal is weak, the inherent noise in the circuit, the inherent noise mixed with the measuring instrument, the background noise of the sensor, and the interference noise caused by the external environment will all be much larger than the amplitude of the target signal. Therefore...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50G06F17/15G06N3/00
CPCG06F17/15G06F30/367G06N3/00
Inventor 郑永军张聪祝增献黄强李文军
Owner CHINA JILIANG UNIV
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