After analyzing the existing radar emitter signal recognition models, this paper presents a radar emitter signal recognition model based on signal parameters extraction.

在分析已有辐射源信号识别模型的基础上，提出了基于信号参数特征提取的辐射源信号识别模型。

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Unsupervised learning is a good method to solve the problem of recognition of unknown radar emitter signal.

无监督学习是解决未知雷达辐射源信号识别的有效方法。

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Aimed at the existing of minor differences of the signal envelopes, a specific radar emitter recognition algorithm is proposed based on the signal decimation and the maximum-likelihood criteria.

研究了在信号包络存在细微差异前提下，基于信号抽取与最大似然准则的特定辐射源识别算法。

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