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Stochastic Resonance Weak Signal Detection Method Based on Chaotic Quantum Genetic Algorithm

A quantum genetic algorithm and weak signal detection technology, applied in the direction of genetic rules, chaos models, measuring devices, etc., to achieve the effects of reducing computational complexity, improving computational efficiency, and broadening the scope of application

Inactive Publication Date: 2019-04-12
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

The stochastic resonance research based on the Gaussian background generally assumes that the Gaussian noise is idealized, but non-Gaussian noise (such as: sea clutter) with significant spike characteristics and tailing characteristics is often encountered in engineering

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  • Stochastic Resonance Weak Signal Detection Method Based on Chaotic Quantum Genetic Algorithm
  • Stochastic Resonance Weak Signal Detection Method Based on Chaotic Quantum Genetic Algorithm
  • Stochastic Resonance Weak Signal Detection Method Based on Chaotic Quantum Genetic Algorithm

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Embodiment Construction

[0042] Below in conjunction with embodiment the present invention will be further described. Such as figure 1 As shown, the stochastic resonance weak signal detection method based on the chaotic quantum genetic algorithm, the optimized parameters obtained through the chaotic quantum genetic algorithm operation are substituted into the Duffing bistable stochastic resonance system driven by α-stable noise, and the weak signal detection is carried out. Among them, CQGA is a quantum genetic algorithm improved by using chaotic search. Based on quantum operations, the probability amplitude of qubits is applied to genetic coding and expressed through quantum state vectors. A state vector corresponds to a quantum state, and a chromosome corresponds to multiple Superposition of individual states, performing chaotic search operations to update individual chromosomes;

[0043] The specific detection method is as follows:

[0044] Step (A), quantum chaos initialization and parameter set...

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Abstract

The invention discloses a chaotic quantum genetic algorithm-based stochastic resonance weak signal detection method. Optimization parameters obtained by operation of a chaotic quantum genetic algorithm (CQGA) are substituted into an alpha stable noise-driven Duffing bistable stochastic resonance system, and weak signal detection is performed, wherein the CAGA is a quantum genetic algorithm improved by utilizing chaotic search; based on quantum operation, the probability amplitude of quantum bit is applied to genetic coding and expressed through a state vector of quantum; and the chaotic search operation is executed to update individual chromosome. According to the method, the signal energy is enhanced by utilizing the noise energy, the signal-to-noise ratio is greatly increased, the search and calculation can be performed without depending on an update table, the high-precision matching requirement is met, the application range of stochastic resonance is expanded based on an alpha stable noise background, and a new method is provided for small target detection in a non Gaussian noise background.

Description

technical field [0001] The invention belongs to the field of weak signal detection, in particular to a stochastic resonance weak signal detection method based on a chaotic quantum genetic algorithm. Background technique [0002] In signal processing, we always find ways to filter or suppress noise to retain useful signals. Therefore, weak signal detection under strong noise background is a technology that specifically fights against noise. Modern electronics fields, such as communication, control, broadcasting , remote control telemetry, or other electronic systems have problems dealing with weak signals and noise. Therefore, effectively improving the signal-to-noise ratio is the primary task of improving weak signal detection technology, thereby meeting the needs of modern scientific research and technology development. [0003] Basic Quantum Genetic Algorithm (Basic Quantum Genetic Algorithm BQGA) is an improved genetic algorithm, which introduces quantum computing into t...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06N3/12G06N7/08G01R23/177
CPCG01R23/177G06N3/126G06N7/08
Inventor 行鸿彦卢春霞
Owner NANJING UNIV OF INFORMATION SCI & TECH
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