An adaptive empirical mode decomposition and stochastic resonance system in high efficient detection of terahertz radar signal

Interference noise affects the ranging capability of terahertz radar signal detection. Aiming at the above problem, a method based on adaptive empirical mode decomposition and stochastic resonance system is proposed. With the preprocessing method of twice sampling, adaptive empirical mode decomposition, stochastic resonance system, and scale recovery, the optimal intrinsic mode function can be screened automatically, the optimal parameters can be obtained automatically and the ranging calculation can be completed. Experimental results demonstrate the effectiveness and superiority of the proposed adaptive system in achieving weak fault signal detection under heavy background noise.