Self-adaptive line spectrum intensifier and stochastic resonance combined line spectrum detection method
A technology of stochastic resonance and detection method, which is applied in the fields of instruments, computer parts, characters and pattern recognition, etc. It can solve the problems of poor adaptability, complicated operation and low computational complexity, and achieve the effect of good detection effect.
Pending Publication Date: 2021-08-06
NORTHWESTERN POLYTECHNICAL UNIV
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Although it can accurately extract the line spectrum feature information of signals with lower signal ratios, its adaptability is poor, the operation is more complicated, and the complexity of the algorithm is higher.
Although the traditional adaptive line spectrum enhancer based on the LMS algorithm has poor detection effect under the condition of low signal-to-noise ratio, its operation is simple, the operation complexity is low, and it has strong adaptability to signals in different states
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[0067] 1) The mixed background signal after mixing the signal to be tested and the background noise is used as the signal to be tested;
[0068] The signal to be measured is s(t)=Acos(ωt), wherein, A is the signal amplitude, and ω is the original frequency to be measured; the background noise is Among them, D is the noise intensity, ξ(t) is Gaussian white noise with mean value 0 and variance 1;
[0069] 2) Input the measured signal into the stochastic resonance system, and use the focusing method and particle swarm algorithm to set the initial state parameters of the system;
[0070] The stochastic resonance system is a classical stochastic resonance system, and its system equation is expressed as formula (1),
[0071]
[0072] Among them, s(t) is the signal to be tested, n(t) is the background noise, the signal after the two are mixed is the measured signal, a and b are the parameters of the stochastic resonance system, -ax+bx 3 is the nonlinear restoring force, is th...
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The invention relates to a self-adaptive line spectrum intensifier and stochastic resonance combined line spectrum detection method, which comprises the following steps of: 1) setting a classical stochastic resonance system model, describing the stochastic resonance system through a nonlinear Langevin equation, and improving the model by introducing a scale transformation method aiming at practical engineering application; 2) setting system parameters for the input noisy signal by using a focusing method and a particle swarm algorithm, so that the system is in a stochastic resonance state; 3) solving the system equation by using a fourth-order Runge-Kutta numerical calculation method to obtain an output signal of the stochastic resonance system; and 4) inputting the obtained signal into a self-adaptive line spectrum intensifier based on an LMS (Least Mean Square) algorithm, wherein the finally obtained solution is the output signal of the whole system. The combined line spectrum detection method adopted by the invention has a good detection effect on a signal with a low signal-to-noise ratio, and can realize weak signal detection under an unknown large frequency.
Description
technical field [0001] The invention belongs to the technical field of signal detection, and relates to a line spectrum detection method combined with an adaptive line spectrum enhancer and stochastic resonance, researching the adaptive line spectrum enhancer and a classical stochastic resonance system can detect weak periodic signals with low signal-to-noise ratio . Background technique [0002] Signal detection plays an important role in the fields of machinery, aerospace, ships, construction and biomedical engineering. In the traditional weak signal detection research, the methods used mainly include adaptive line spectrum enhancer and time-frequency analysis method. However, while suppressing noise, useful signals are also damaged to varying degrees by these techniques, and the detection effect is not good when the signal-to-noise ratio is low. Therefore, it is particularly important to study weak signal detection technology under strong noise background. [0003] The...
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IPC IPC(8): G06K9/00G06N3/00
CPCG06N3/006G06F2218/04
Inventor 韩鹏白园园
Owner NORTHWESTERN POLYTECHNICAL UNIV