无监督学习是解决未知雷达辐射源信号识别的有效方法。
Unsupervised learning is a good method to solve the problem of recognition of unknown radar emitter signal.
因为被测辐射源信号是未知的，多辐射环境脉冲配对和信号分选问题就更为复杂。
Because the radiant signal is unknown, the problem of pulse match and signal separation becomes more complicated.
现代电子信息系统需要利用信号的细微特征识别功能参数相同或相近的辐射源信号。
Subtle features need to be extracted to recognize the emitters with the similar functional parameters in modern electronic system.
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