Feature Analysis and Extraction for Specific Emitter Identification Based on the Signal Generation Mechanisms of Radar Transmitters
Author:
Liu Yilin,Li Shengyong,Lin Xiaohong,Gong Hui,Li Hongke
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.
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference27 articles.
1. On Methods for Specific Radar Emitter Identification;Wang,2016
2. Research on Emitter Identification;Zhang,2005
3. The Feature Extraction of Rader Source and Rader Individual Identification;Yang,2017
4. Radar Antenna Scan Pattern Intelligent Recognition Using Visibility Graph
5. LPI Radar Waveform Recognition Based on Deep Convolutional Neural Network Transfer Learning
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献