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Specific Emitter Identification Using IMF-DNA with a Joint Feature Selection Algorithm

Electronics (Switzerland), 2019
Specific emitter identification (SEI) is a technique to distinguish among different emitters of the same type using weak individual characteristics instead of conventional modulation parameters. The biggest challenge in SEI is to not only distinguish the
Longwen Wu, Yaqin Zhao, Hikmat Ullah
exaly   +2 more sources

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Cumulants-based Radar Specific Emitter Identification

2011 IEEE International Workshop on Information Forensics and Security, 2011
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 ...
AUBRY, AUGUSTO, Bazzoni, A., CAROTENUTO, VINCENZO, DE MAIO, ANTONIO, Failla, P.   +4 more
openaire   +2 more sources

A Nonlinear Fingerprint-Level Radar Simulation Modeling Method for Specific Emitter Identification

Electronics (Switzerland), 2021
With the development of information technology for modern military confrontations, radar emitter fingerprint identification has become a hot and difficult topic in the field of electronic warfare, especially in the field of electronic reconnaissance ...
Wenjuan Ren, Peng Man, Chibiao Ding, Guangluan Xu   +3 more
exaly   +2 more sources

Specific Emitter Identification using video signals

2012 20th Signal Processing and Communications Applications Conference (SIU), 2012
Specific Emitter Identification(SEI) methods are used in intercept systems for differentiating of same type of emitters in the environment. Most of the SEI implementations are designed for post processing (off line) by operators. This paper presents preliminary results on real time (on line)implementation of a SEI method on signals after the IF stage ...
Cihangir Erdem, Ali Kara
openaire   +1 more source

Specific emitter identification

2008 International Radar Symposium, 2008
The process of final emitter identification is based on ldquothe knowledge-based approachrdquo which was implemented during the processing of constructing the database. The technical and tactical parameters connected with radarpsilas applications are very often a good source of knowledge about the identified emitters.
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Specific emitter identification based on amplitude features

2015 IEEE International Conference on Signal and Image Processing Applications (ICSIPA), 2015
This paper describe the Specific Emitter Identification (SEI) technique applied to Electronic Support Measure (ESM) systems. The main idea is to analyze the radar pulses and characterize those by extracting features that should be different for each radar.
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A New Method of Specific Emitter Identification

2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2019
Specific Emitter Identification (SEI) techniques have been widely used as a tool of spectrum management operation to enhance the security by matching the received signal with the specific emitter. However, there are few methods focusing on the unintentional modulation (UIM) of signals.
Liting Sun, Wanlong Zhang, Xiang Wang, Kaihong Li, Yiwei Guo, Jiarun Yang   +5 more
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Method of Empirical Mode Decomposition in Specific Emitter Identification

Wireless Personal Communications, 2017
RF fingerprint (RFF) extraction is a fundamental issue of specific emitter identification (SEI). In most of current SEI techniques, the extracted RFFs are adversely affected by other components. This paper introduces a novel SEI system for the common communication signals.
Jiang-Hai Liang, Zhi-Tao Huang, Zhi-Wei Li   +2 more
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Specific Emitter Identification Based on Feature Selection

2019
For the high dimension of fingerprint feature set in the process of specific emitter identification (SEI), feature selection method is utilized to reduce the feature dimension and improve individual recognition rate. This paper adopted the filter feature selection in four ways: MIFS, mRMR, CMIM, and JMIM fingerprint feature set of high-dimensional ...
Yingsen Xu, Shilian Wang, Luxi Lu
openaire   +1 more source