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Feature Analysis and Extraction for Specific Emitter Identification Based on the Signal Generation Mechanisms of Radar Transmitters

Authors :
Yilin Liu
Shengyong Li
Xiaohong Lin
Hui Gong
Hongke Li
Source :
Sensors, Vol 22, Iss 7, p 2616 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

In this study, a feature analysis and extraction method was proposed for specific emitter identification based on the signal generation mechanisms of radar transmitters. The generation of radar signals by radar transmitters was analyzed theoretically and experimentally. In the analysis, the main source of unintentional modulation in radar signals was identified, and the frequency stabilization of the solid-state frequency source, the nonlinear characteristics of the radio frequency amplifier chain, and the envelope of the pulse front edge were extracted as features for specific emitter identification. Subsequently, these characteristics were verified through simulation. The results revealed that the features extracted by this method exhibit “fingerprint characteristics” and can be used to identify specific radar emitters.

Details

Language :
English
ISSN :
22072616 and 14248220
Volume :
22
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Sensors
Publication Type :
Academic Journal
Accession number :
edsdoj.3d95d7dd8f534cc5b77b4b0c59f258b4
Document Type :
article
Full Text :
https://doi.org/10.3390/s22072616