Magnetic anomaly signal detection using adaptive stochastic resonance system

Abstract

The SR (Stochastic Resonance) system possesses the ability to take advantage of the background noise to enhance the weak signal. And it provides a new approach to detect the weak magnetic anomaly signal embedded with complex geomagnetic environment noise. However, the system output is directly influenced by system structural parameters, the inappropriate choice of parameters will lead to a sharp decline in the detection performance of the system. Aiming at this target, we proposed an adaptive stochastic resonance (ASR) system employing the kurtosis index as the criteria to automatically adjust the system structural parameters, which can perform well in the detection of magnetic anomaly signal with background noise. The simulation and experiment are conducted, and the results indicate that it is effective. In details, compared with the traditional SR detector, it has an incremental detection probability of 12% ~20% when the input SNR was between -3dB and -1dB.