特征提取是辐射源个体识别技术的关键，也是实际应用中必须解决的首要问题。
Feature extraction is the key to emitter individual identification technology, but also the primary issue that should be solved in practical applications.
实验结果表明，基于循环谱的辐射源个体特征更能有效的表征雷达辐射源的个体差异，可有效实现个体识别。
Experimental results show that the method based on cyclic spectrum is more effective to describe characterization of radar emitters, it can effectively achieve individual identification.
对雷达辐射源进行准确识别是当前研究的重点课题之一，主要包括对雷达辐射源个体信号、雷达辐射源型号的识别。
It is important to recognize radar emitters at present. The recognition consists of radar individual signal recognition and radar model recognition.
对雷达辐射源进行准确识别是当前研究的重点课题之一，主要包括对雷达辐射源个体信号、雷达辐射源型号的识别。
It is important to recognize radar emitters at present. The recognition consists of radar individual signal recognition and radar model recognition.
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