共发射极
累积量
雷达
计算机科学
分类器(UML)
人工智能
模式识别(心理学)
鉴定(生物学)
雷达信号处理
k-最近邻算法
数据挖掘
电子工程
信号处理
工程类
电信
数学
统计
生物
植物
作者
Augusto Aubry,A. Bazzoni,Vincenzo Carotenuto,Antonio De Maio,Pierluigi Failla
标识
DOI:10.1109/wifs.2011.6123155
摘要
In this paper we consider the problem of Radar Specific Emitter Identification (SEI) with the aim of distinguishing among several transmitting sources of the same kind which is a very hot topic in the device forensic field. At the design stage, we introduce a classification technique based on some suitable features evaluated from the cumulants of the signal emitted by the radar system. The devised features share some invariance properties which make them very attractive for the SEI problem. Hence, we use them as the input to a K-Nearest Neighbor (KNN) classifier which performs the assignment of the emitter to a specific class. At the analysis stage, we assess the performance of the new system on a real dataset containing radar signals from three identical airborne emitters. The results highlight that a satisfactory classification performance is achieved.
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