Radar emitter structure identification based on stacked frequency sparse auto‐encoder network
IET Radar, Sonar & NavigationIn the current complex situations of electronic intelligence (ELINT), the authors present a radar emitter structure (RES) identification method based on deep learning at a new level to address the issue of incomplete cognitive information.
Lutao Liu +4 more
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Problems with direction finding using linear array with element spacing more than half wavelength
, 2002 This paper investigates the performance of different parameter estimation algorithms in direction finding using a linear array with element spacing of more than half a wavelength.
Nix, AR, Tan, CM, Beach, MA
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Comparison of Classifiers for Radar Emitter Type Identification [PDF]
, 1999 ARTMAP neural network classifiers are considered for the identification of radar emitter types from their waveform parameters. These classifiers can represent radar emitter type classes with one or more prototypes, perform on-line incremental learning to
Granger, Eric +3 more
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Emitter Signal Deinterleaving Based on Single PDW with Modulation-Hypothesis-Augmented Transformer
Remote SensingRadar emitter signal deinterleaving based on pulse description words (PDWs) is a challenging task in the field of electronic warfare because of the parameter sparsity and uncertainty of PDWs.
Huajun Liu, Longfei Wang, Gan Wang
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A study on identification of radar emitters
, 2020 In this thesis, a methodology for identification of radar emitters with stable PulseRepetition Interval (PRI) is studied. Also, a simulator for threat generation is developedfor testing the system. Threat generation simulator generates Pulse Descriptor Words(PDW) that consists of Radio Frequency, Angle of Arrival, Pulse Width, PulseAmplitude and Time ...
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Specific radar emitter identification based on principal component analysis
, 2006 W artykule została przedstawiona problematyka związana z identyfikacją emiterów radarowych należących do tego samego typu i klasy. Jest to specyficzny rodzaj identyfikacji (SEI, ang.
Wnuczek, S. +3 more
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Semi-Global Attention and Inter-Class Multi-constraint Enforced Open-Set Radar Emitter Individual Identification [PDF]
RadioengineeringThis paper proposes an open-set radar emitter individual identification algorithm based on semi-global attention and inter-class multi-constraint to address the problem of inadequately adaptive feature representation and discrimination difficulty with ...
J. Xu +5 more
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A method of feature selection in the aspect of specific identification of radar signals
, 2017 This article presents an important task of classification, i.e. mapping surfaces which separate patterns in feature space in the scope of radar emitter recognition (RER) and classification.
J. Dudczyk, Dudczyk, J.
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Open space radar specific emitter identification using MSAK‐CNN‐LSTM network
IET Radar, Sonar & NavigationTo enhance the capability of identifying unknown emitters in open spaces, an open‐multiscale attention kernel (MSAK)‐convolutional neural network‐long short‐term memory (CNN‐LSTM) structure is proposed.
Yuanhao Zheng, Jiantao Wang, Jie Huang
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USING NEURAL NETWORK IN RADAR EMITTER'S IDENTIFICATION [PDF]
The International Conference on Electrical Engineering, 1998 Magdy Kamal, Fawzy Ibrahim, Nabil Girgis
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