Interference Emission Sources Identification Approach Based on Basic Emission Waveform Theory

Fan Zhang, Wen Wang, Hui Xu, Aixin Chen, Donglin Su
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Abstract

With the rapid development of electronic technology in recent years, the application of electronic equipment or electronic system becomes more and more common, and these equipment or system produce a large number of intentional or unintentional electromagnetic emissions when they are working. In order to check the electromagnetic emission to avoid the impact on the surrounding electronic equipment or electronic system, the need of emitter identification arises, especially in the field of electromagnetic compatibility(EMC). This paper proposes a systematic radiation emitter identification approach. This approach divides the radiated emission data of equipment or system into three different kinds of components and the radiated emission data is classified according to the similarity of the three components. Three different kinds of electronic equipment radiation emission data are used to verify the proposed method. The classification accuracy for small samples of radiation emission data is 100%, which confirms the effectiveness of this method.
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基于基本发射波形理论的干扰辐射源识别方法
近年来随着电子技术的飞速发展,电子设备或电子系统的应用越来越普遍,而这些设备或系统在工作时都会产生大量有意或无意的电磁发射。为了检查电磁发射情况,避免对周围的电子设备或电子系统造成影响,就需要对发射体进行识别,特别是在电磁兼容(EMC)领域。提出了一种系统的辐射源识别方法。该方法将设备或系统的辐射发射数据分成三种不同的成分,并根据三种成分的相似度对辐射发射数据进行分类。利用三种不同类型的电子设备的辐射发射数据验证了所提出的方法。小样本辐射发射数据的分类准确率为100%,验证了该方法的有效性。
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