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Radar Emitter Identification Based on Weighted Local and Global Consistency

2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), 2019
In order to realize radar emitter identification with only a small number of training samples, this paper introduces the Local and Global Consistency (LGC) algorithm into the field of radar emitter identification. Aiming at the problem that the method is greatly affected by the signal measurement error, a radar emitter identification method based on ...
Xiaohui Ran, Weigang Zhu
openaire   +2 more sources

Generative-contrastive learning for open set radar emitter identification

Signal Processing
Dongming Wu   +4 more
openaire   +2 more sources

Radar specific emitter identification via the Attention-GRU model

Digital Signal Processing, 2023
Wenxu Zhang   +2 more
exaly   +2 more sources

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

open access: yesElectronics (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   +3 more
exaly   +2 more sources

Dynamic Boundary Adversarial Model for Open-Set Radar-Specific Emitter Identification

IEEE Transactions on Aerospace and Electronic Systems
In the real world, radar-specific emitter identification faces complex open-set recognition (OSR) scenarios, where traditional closed-set classifiers cannot distinguish between known and unknown categories similarly distributed in the feature space ...
Zehuan Jing   +6 more
openaire   +2 more sources

Multi-function radar emitter identification based on stochastic syntax-directed translation schema

open access: yesChinese Journal of Aeronautics, 2014
To cope with the problem of emitter identification caused by the radar words’ uncertainty of measured multi-function radar emitters, this paper proposes a new identification method based on stochastic syntax-directed translation schema (SSDTS).
Haijun Liu, Hongqi Yu, Zhaolin Sun
exaly   +2 more sources

RFSD-REI: A Real and Fake Samples-Driven Radar Emitter Identification Method for Imbalanced Data

IEEE Transactions on Instrumentation and Measurement, 2023
To address the issue of radar emitter identification (REI) with imbalanced data, we propose a real and fake samples-driven REI method for imbalanced data.
Zilong Wu, Daping Bi, Jifei Pan
semanticscholar   +1 more source

Research on Radar Emitter Identification Algorithm Based on Multi-Sensor Data Fusion

2023 3rd International Conference on Energy, Power and Electrical Engineering (EPEE), 2023
To improve the reliability and anti-jamming ability of the radar countermeasure reconnaissance system in the complex electromagnetic environment, we propose a multi-sensor data fusion algorithm for parameter estimation.
Kang Liu   +5 more
semanticscholar   +1 more source

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   +4 more
openaire   +2 more sources

Radar Emitter Identification using Signal Noise and Power Spectrum Analysis in Deep Learning

2022 Fifth International Conference of Women in Data Science at Prince Sultan University (WiDS PSU), 2022
Specific emitter identification (SEI) is a vital function of the electronic radar warfare support system. The challenge emphasizes recognizing and locating unique transmitters, avoiding potential threats, and preparing a countermeasure. Unlike the analog
Akhila Madhu   +2 more
semanticscholar   +1 more source

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