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A comprehensive survey of machine learning applied to radar signal processing
P Lang, X Fu, M Martorella, J Dong, R Qin… - arxiv preprint arxiv …, 2020 - arxiv.org
Modern radar systems have high requirements in terms of accuracy, robustness and real-
time capability when operating on increasingly complex electromagnetic environments …
time capability when operating on increasingly complex electromagnetic environments …
[PDF][PDF] Electronic warfare: Issues and challenges for emitter classification
Electronic warfare (EW) is an important capability that provides advantage to defence forces
over their adversaries. Defence forces gather tactical intelligence through EW sensors …
over their adversaries. Defence forces gather tactical intelligence through EW sensors …
Radar emitter classification based on unidimensional convolutional neural network
Radar emitter classification (REC) is an essential part of electronic warfare (EW) systems. In
REC tasks, after deinterleaving, the intercepted radar signals are classified into specific …
REC tasks, after deinterleaving, the intercepted radar signals are classified into specific …
Syntactic modeling of multi-function radars
NA Visnevski - 2005 - macsphere.mcmaster.ca
The problem of radar modeling is of critical importance to Electronic Warfare applications
such as radar recognition and threat analysis. As modern radar signals become steadily …
such as radar recognition and threat analysis. As modern radar signals become steadily …
Specific emitter identification
J Matuszewski - 2008 International radar symposium, 2008 - ieeexplore.ieee.org
The process of final emitter identification is based on ldquothe knowledge-based
approachrdquo which was implemented during the processing of constructing the database …
approachrdquo which was implemented during the processing of constructing the database …
Tracking the mode of operation of multi-function radars
One of the important objectives of a radar warning receiver (RWR) aboard a tactical aircraft
is to evaluate the level of threat posed by hostile radars in an extremely complex electronic …
is to evaluate the level of threat posed by hostile radars in an extremely complex electronic …
[KÖNYV][B] Compressive sensing based algorithms for electronic defence
AK Mishra, RS Verster - 2017 - Springer
In this book we describe applications of Compressive Sensing (CS) based algorithms for
Electronic Support (ES) tasks such as direction-of-arrival (DOA) estimation of modulated …
Electronic Support (ES) tasks such as direction-of-arrival (DOA) estimation of modulated …
Improvement of RBF neural networks using Fuzzy-OSD algorithm in an online radar pulse classification system
In this paper a new methodology for training radial basis function (RBF) neural networks is
introduced and examined. This novel approach, called Fuzzy-OSD, could be used in …
introduced and examined. This novel approach, called Fuzzy-OSD, could be used in …
A novel classification and identification scheme of emitter signals based on ward's clustering and probabilistic neural networks with correlation analysis
X Liao, B Li, B Yang - Computational intelligence and …, 2018 - Wiley Online Library
The rapid development of modern communication technology makes the identification of
emitter signals more complicated. Based on Ward's clustering and probabilistic neural …
emitter signals more complicated. Based on Ward's clustering and probabilistic neural …
Radar emitter signal recognition based on support vector machines
G Zhang, W **, L Hu - ICARCV 2004 8th Control, Automation …, 2004 - ieeexplore.ieee.org
Radar emitter signal recognition plays an important role in electronic intelligence systems
and electronic support measure systems. To heighten accurate recognition rate of radar …
and electronic support measure systems. To heighten accurate recognition rate of radar …