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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   +5 more
openaire   +1 more source

Neural network application for emitter identification

2017 18th International Radar Symposium (IRS), 2017
A common function of Electronic Support Measures (ESM) system is a threat detection in the electromagnetic environment and the area surveillance so as to determine the identity of surrounding emitters. The paper presents the application of neural networks as a new way to cluster and classify radar signals in the reconnaissance systems.
Jan Matuszewski   +1 more
openaire   +1 more source

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

A vector neural network for emitter identification

IEEE Transactions on Antennas and Propagation, 2002
This paper proposes a three-layer vector neural network (VNN) with a supervised learning algorithm suitable for signal classification in general, and for emitter identification (EID) in particular. The VNN can accept interval-value input data as well as scalar input data.
null Ching-Sung Shieh   +1 more
openaire   +1 more source

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   +2 more
openaire   +1 more source

Radar emitter individual identification

International Conference on Computational Modeling, Simulation, and Data Analysis (CMSDA 2021), 2022
Haiyu Yang   +4 more
openaire   +1 more source

Nonlinearity Estimation for Specific Emitter Identification in Multipath Channels

IEEE Transactions on Information Forensics and Security, 2011
We present a radio frequency (RF) front-end nonlinearity estimator that is based on the knowledge of a training sequence to perform specific emitter identification (SEI), which discerns radio emitters of interest. Design and fabrication variations provide unique signal signatures for each emitter, and we extract those characteristics through the ...
Ming-Wei Liu, John F. Doherty
openaire   +1 more source

Specific Emitter Identification Based on Eye Diagram

2021 IEEE 21st International Conference on Communication Technology (ICCT), 2021
Chentao Cun, Tianyun Li, Jiawei Zhu
openaire   +1 more source

Specific Emitter Identification Via Multiple Distorted Receivers

2019 IEEE International Conference on Communications Workshops (ICC Workshops), 2019
Specific emitter identification (SEI) is a technique that identifies different emitters based on specific characteristics of each individual emitter, which finds broad applications in wireless communication authentication, radio monitoring, electromagnetic environment sensing, and information warfare.
Boxiang He   +3 more
openaire   +1 more source

Specific Emitter Identification via Contrastive Learning

IEEE Communications Letters, 2023
Zitao Wu, Fanggang Wang 0001, Boxiang He
openaire   +1 more source

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