A novel stochastic vibration-based algorithm for electromagnetic leakage detection

in the safety detection of the current electromagnetic leakage of electronic equipment, weak leakage signal frequencies are easily missed, involving other problems. This paper presents a new algorithm connecting with stochastic vibrating electromagnetic leakage detection, which uses the principle of stochastic vibration to enhance the leak signal strength and reduce the noise strength by migrating the noise signal energy from the original signal to the leak signal, thus solving the problem arising from leak detection of spectrum. The algorithm is implemented by frequency shifting, a new genetic algorithm and segmented biostability to overcome the shortcomings in the traditional bistatic random algorithm. This paper demonstrates the effectiveness of the method in electromagnetic leakage detection through experiments and simulations.