Weak signal detection method of stochastic resonance based on adaptive chaotic particle swarm optimization algorithm

Abstract

The invention discloses a weak signal detection method of stochastic resonance based on an adaptive chaotic particle swarm algorithm. Firstly, the stochastic resonance problem is converted into a multi-parameter synchronous optimization problem of a second-order Duffing system, and the multi-parameter optimization of the system is completed by using the adaptive chaotic particle swarm algorithm. The second-order Duffing system is transformed into a second-order chaotic system, and all the particles are optimized according to the ergodicity of chaos. In the process of optimization, the inertiaweight is adaptively adjusted according to the particle optimization ability, particle velocity and position are updated, the maximum value of the updated particle fitness is judged, the optimal parameters of the second-order Duffing system are found accurately. The optimal system structure parameters are substituted into the second-order Duffing oscillator stochastic resonance system, Stochasticresonance is realized. When weak signal, Gaussian white noise and second-order Duffing nonlinear system produce synergistic effect, part of energy of noise is transferred to weak periodic signal at low frequency, the maximum signal-to-noise ratio is output, and weak signal under Gaussian white noise background is detected.

Description

technical field [0001] The invention relates to a method for detecting a stochastic resonance weak signal, in particular to a method for detecting a stochastic resonance weak signal based on an adaptive chaotic particle swarm algorithm, which belongs to the field of weak signal detection and processing. Background technique [0002] In the field of practical engineering applications, weak signal detection under strong noise background has always been a research hotspot for researchers at home and abroad. The so-called weak signal detection is to effectively filter or suppress noise through a series of signal processing methods. The purpose is to improve the output signal signal. Noise ratio, the technology to detect weak characteristic signals in the background of strong noise, has the problem of dealing with weak signals and noise in the fields of communication, physics, chemistry, biomedicine, remote sensing and materials science. The traditional method is to use noise fil...

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Problems solved by technology

[0004] Purpose of the invention: The purpose of the patent of this invention is to solve the problems that the existing PSO algorithm is simple and easy to understand compared with the GA algorithm, but the GA and PSO algorithms are prone to premature convergence, poor global optimization ability and slow convergence speed.

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