Stochastic Resonance Based High Frequency Weak Signal Detection Method Based on Interpolation

Abstract

The invention discloses a stochastic resonance high-frequency weak signal detection method based on interpolation under a low sampling rate, and belongs to the field of signal detection. The method is characterized by comprising the following steps that (1) high-frequency signals to be detected are sampled through the low sampling rate; (2) interpolation preprocessing is carried out on the collected sample signals, and the sampling rate is improved; (3) the signals after interpolation processing are transmitted to a parameter normalization monostable stochastic resonance system, the weak signals are enhanced, and the aim of detection is achieved. Compared with the fact that existing large-parameter stochastic resonance requires the sampling rate to be 50 times signal frequency, the sampling rate can be lowered to be six to ten times the signal frequency by the method of the invention, the design complexity of a sampling circuit is greatly lowered, hardware expenses are saved, system design is simpler, and the method is easier to achieve. Due to the fact that the monostable stochastic resonance system is used, parameter adjustment is facilitated better, and stochastic resonance can be achieved easily.

Description

technical field [0001] The invention relates to a weak signal detection method under low sampling rate and low signal-to-noise ratio, and belongs to the field of signal detection. Background technique [0002] Stochastic resonance is a phenomenon in which a weak signal and noise resonate in a nonlinear system under a strong noise background to achieve the effect of enhancing the signal, even if the energy of the noise is transferred to the signal. The principle of signal detection based on stochastic resonance is different from the traditional signal detection method. The traditional signal detection method highlights the signal by suppressing the noise, but at the same time suppressing the noise, the signal will also be weakened, so the signal-to-noise ratio will decrease; based on The signal detection of stochastic resonance is the use of noise, by sending the noise and the signal into the nonlinear system, the resonance of the noise and the signal is realized, and the ene...

AI Technical Summary

Problems solved by technology

[0004] The existing stochastic resonance-based high-frequency weak signal detection methods mostly use the bistable stochastic resonance system. The bistable stochastic resonance system has two adjustable parameters. Stochastic resonance is realized by adjusting the two parameters, which increases the system Design Difficulty

Moreover, both the frequency shift algorithm and the parameter adjustment algorithm require oversampling whose sampling frequency is more than 50 times the frequency of the signal to be tested, which increases the difficulty of sampling using stochastic resonance for high-frequency signal detection, increases the difficulty of sampling circuit design, and increases the hardware cost. Large, which poses a great limitation on stochastic resonance for high-frequency weak signal detection

Images