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。
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。
On the contrary, unintentional modulation that reflects the inherent properties of radar emitter is the emphasis when studying the unintentional modulation of radar emitter signal.
相反，在研究雷达辐射源信号无意调制时，常规参数信息不再是研究的主体，体现雷达辐射源个体固有属性的无意调制特征成为关注的重点。
The deinterleaving of radar emitter signals is a crucial technique in signal processing of electronic Intelligence, which directly determines the performance of electronic reconnaissance equipment.
雷达辐射源信号分选是电子侦察信号处理的关键环节，直接影响着电子侦察设备性能的发挥并关系到战争的后续作战决策。
Once the hostile radar signal is detected, the KJ8602A analyses those received signals and identify the signal sources according to the stored emitter identification data (EID), and alerts the pilot.
一但敌人雷达信号被发现，KJ8602A通过储存的发射器识别数据（EID）分析那些被接收的信号和识别信号源，并且提醒飞行员。
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。
This paper is concerned with the parameters estimation of radar signal from the target emitter.
本文以无源定位为背景，针对辐射源辐射信号的参数测量方法展开研究。
This paper is concerned with the parameters estimation of radar signal from the target emitter.
本文以无源定位为背景，针对辐射源辐射信号的参数测量方法展开研究。
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