Weak signal detection method based on adaptive cascading power function type bistable random resonance

A weak signal detection and stochastic resonance technology, applied in the field of signal processing, can solve problems such as limitations

Inactive Publication Date: 2016-11-16
CHONGQING UNIV OF POSTS & TELECOMM
View PDF1 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] So far, scholars at home and abroad have achieved certain research results using the bistable stochastic resonance system to detect weak signals, but they are limited to the traditional bistable system model with symmetric reflection quartic potential

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Weak signal detection method based on adaptive cascading power function type bistable random resonance
  • Weak signal detection method based on adaptive cascading power function type bistable random resonance
  • Weak signal detection method based on adaptive cascading power function type bistable random resonance

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0016] The implementation of the present invention will be further described below in conjunction with the accompanying drawings and specific examples.

[0017] figure 1 Shown is a weak signal detection block diagram based on adaptive cascaded power function bistable stochastic resonance. The specific steps are as follows: the signal containing Gaussian white noise is converted into a small parameter signal that satisfies the adiabatic approximation theory through secondary sampling, and then the small The parameter signal is input into the cascaded power function type bistable stochastic resonance system, and finally the FFT is performed on the output signal of the cascaded power function type bistable stochastic resonance system to obtain its spectrum, so as to realize the detection of weak signals.

[0018] The power function bistable potential well model is obtained by combining the power function single potential well model and the Gaussian potential well model. It can b...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a weak signal detection method based on adaptive cascading power function type bistable random resonance, and belongs to the technical field of signal processing. For the purpose of extracting weak signals in the background of strong noise, the invention brings forward a power function type bistable random resonance system by compounding a power function type single-potential-well model with a Gaussian Potential model. According to the method based on the system, first of all, noised signals are preprocessed so as to satisfy small-parameter conditions of a heat insulation approximation theory, then according to known conditions, a search scope of power function type bistable system parameters is arranged, by taking average signal-to-noise gain as a performance average index, values of the power function type bistable system parameters are optimized, and thus an optimal resonance effect is generated. The power function type bistable potential well model brought forward by the invention has the advantages of the power function type single-potential-well model and a conventional bistable model, thereby having general significance in actual application. Searching optimization is carried out on the system parameters by use of an adaptive searching optimization algorithm so that a poor resonance effect caused by poor selection of the system parameters is avoided.

Description

technical field [0001] The invention belongs to the technical field of signal processing, in particular to a weak signal detection method based on adaptive cascade power function bistable stochastic resonance. Background technique [0002] Traditional weak signal detection is aimed at suppressing noise, but when the signal frequency is very close to the noise frequency, the useful signal will be weakened while the noise is suppressed, and the detection effect cannot be achieved. Stochastic resonance just makes up for the shortcomings of traditional detection methods, and does the opposite. By converting the energy of noise into the energy of weak signals, the signal energy is enhanced, and then the weak signals are detected. This "anomalous effect" has great potential in weak signal detection. Benzi et al. proposed stochastic resonance for the first time when studying paleoclimate glaciers. In the 1990s, Collins combined information theory and stochastic resonance to propos...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00
CPCG06F2218/00G06F2218/04
Inventor 贺利芳崔莹莹强幸子
Owner CHONGQING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap