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Adaptive stochastic resonance weak signal matching detection method

A technology of stochastic resonance and detection method, which is applied in the directions of transmission path sub-channel allocation, measurement power, measurement device, etc., can solve problems such as shortening the processing signal, and achieve the effect of easy implementation, simple design method and loose selection range.

Inactive Publication Date: 2017-05-17
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

[0006] In order to overcome the deficiencies of the prior art, the present invention provides an adaptive stochastic resonance weak signal matching detection method that does not need to adjust the noise and system parameters, which can make the design of the stochastic resonance system simple, greatly shorten the processing signal, and facilitate the matching of each frequency band signal

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[0040] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0041] The damped bistable stochastic resonance system is designed as follows:

[0042]

[0043] Among them, r(t)=s(t)+n(t) is the received signal, s(t) is the periodic signal, n(t) is the noise, x(t) is the output signal, Δt is the sampling interval, a, b is the system parameter, k is the adaptive adjustment gain parameter of the received signal, and w(t) is the external optimized noise.

[0044] From the linear response theory we know that:

[0045] x(t)=s SR (t)+n SR (t) (6)

[0046] Among them, s SR (t) is the resonance system output corresponding to the periodic signal, n SR (t) is the resonance system output corresponding to the noise.

[0047] in H 1 Assuming that there is a periodic signal, the input signal-to-noise ratio SNR can be obtained in and output signal-to-noise ratio SNR out :

[0048]

[0049]

[0050] and The ...

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Abstract

The invention provides an adaptive stochastic resonance weak signal matching detection method and relates to the technical field of signal detection. The method, by analyzing signal-to-noise ratio gain of a stochastic resonance system, obtains the trilateral relationship of noise intensity of a received signal, system barrier height, and pre-processing gain of a received signal under the conditions of optimal resonance so as to maximize the output signal-to-noise ratio of the stochastic resonance system which has fixed parameters by pre-processing the received signal. The noise intensity of the received signal can be estimated through traditional methods. According to the invention, the system has a simple designing method, and is easy to realize, obviates the need for adjusting noise intensity and system parameters, does not need tedious optimization of actual environment. The method is simple and easy. The system parameters have a wide selection range. The method matches all types of frequency band signals by simply and directly adjusting the received signal, and can directly process the received signal. Various detectors can be applied to the obtained output sequence. The method is simple and easy to implement and can be widely applied to related fields of weak signal detection.

Description

technical field [0001] The invention relates to the field of signal detection, in particular to a weak signal detection method. Background technique [0002] In the field of signal detection, the stochastic resonance weak signal detection method has attracted the attention of research institutions at home and abroad because of its enhancement characteristics for weak signals. Stochastic resonance is a method of passing the strong background noise signal through a special nonlinear system (resonance system), so that the noise energy is converted into signal energy, rather than the traditional weak signal detection method (higher-order spectrum analysis, wavelet analysis and Empirical mode decomposition analysis, etc.) to filter out noise while denoising also weakens the signal, which is difficult to apply to weak signal detection with low signal-to-noise ratio. [0003] Stochastic resonance uses stochastic nonlinear differential equations as a mathematical model to study a n...

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Application Information

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IPC IPC(8): G01R31/00H04L5/00
CPCG01R31/00H04L5/006
Inventor 王海燕董海涛申晓红高婧洁贾天一黄忠明马石磊
Owner NORTHWESTERN POLYTECHNICAL UNIV
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