Multi-frequency weak signals parallel detection based on stochastic resonance

Weak signal detection embedded in strong noise background is a research hotspot in the field of signal processing. The stochastic resonance based on nonlinear theory can transfer the partial power of the noise to signal which can get a higher signal to noise ratio (SNR). Facing the present situation that the application of traditional stochastic resonance detection methods are limited and cannot achieve the goal of multi-frequency weak signals parallel detection, we redesign the sampling frequency and compensable coefficient, put forward a new detection algorithm in the environment of ultrahigh frequency based on parameter compensation method which achieves the goal of multi-frequency weak signal parallel detection at the same time.