基于改进型随机振动的电磁泄漏信号检测算法

Electromagnetic Leakage Signal Detection Algorithm Based On Improved Random Vibration

摘要: 针对当前电子设备电磁泄漏安全检测中，微弱泄漏信号频点易被漏检等问题。本文提出了一种新型随机振动电磁泄漏检测算法，该算法利用随机振动原理，通过迁移原始信号中的噪声信号能量到泄漏信号上，达到增强泄漏信号强度，降低噪声强度，解决泄漏频谱的漏检问题。该算法通过移频，新型遗传算法及分段双稳态等方法，对传统随机振动算法进行优化，克服传统双稳态随机算法中存在的不足。本文通过实验和仿真证明了该方法的在电磁泄漏检测中的有效性。

Abstract: In view of the current electronic equipment electromagnetic leakage safety detection, the weak leakage signal frequency point is easy to be detected and so on. In this paper, a new electromagnetic leakage detection algorithm based on random vibration is proposed. The algorithm uses the principle of random vibration to transfer the energy of noise signal from the original signal to the leakage signal, so as to enhance the leakage signal strength and reduce the noise strength, solve the problem of leak detection of leakage spectrum. This algorithm optimizes the traditional random vibration algorithm by frequency shift, new genetic algorithm and subsection bistable method, and overcomes the shortcomings of the traditional bistable random vibration algorithm. The effectiveness of this method in electromagnetic leakage detection is proved by experiment and simulation.