首页|期刊导航|红外与毫米波学报|一种基于时频原子特征的雷达辐射源信号识别方法

一种基于时频原子特征的雷达辐射源信号识别方法OA北大核心CSCDCSTPCD

A method for radar emitter signal recognition based on time-frequency atom features

中文摘要英文摘要

提出了一种全新的基于时频原子特征的雷达辐射源信号识别方法.训练阶段,在过完备时频原子库的基础上,以类区分度为度量,提取少数最能区分不同类别信号的时频原子作为一组固定的特征;识别阶段,以原子和信号的内积的绝对值作为分类器的输入特征,采用有监督模糊自适应共振网络进行辐射源的自动识别.对5类典型雷达辐射源信号的实验结果表明,该方法大大减小了识别过程中特征提取的计算量,输入特征具有类内聚集性强、类间区分度大的特点,在信噪比大于3 dB时可以获得高的识别正确率.

A novel method for radar emitter signal recognition based on time-frequency atom feature is presented. During training, based on the over-complete time-frequency atom dictionary, a few atoms which can separate different kinds of signals best are extracted as a set of fixed feature according to the class separability. During testing, the module of inner product between atoms and signals is used as the input feature for the fuzzy ARTMAP classifier, and the rad…查看全部>>

王希勤;刘婧瑶;孟华东;刘一民

清华大学电子工程系,北京100084清华大学电子工程系,北京100084清华大学电子工程系,北京100084清华大学电子工程系,北京100084

信息技术与安全科学

雷达辐射源特征提取时频原子类区分度模糊自适应共振网络

radar emitters feature extraction time-frequency atom class separability fuzzy ARTMAP

《红外与毫米波学报》 2011 (6)

基于成簇稀疏性约束的舰船目标高分辨SAR成像研究

566-570,5

973项目(2010CB731901)国家自然科学基金(40901157)

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