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 …

[PDF][PDF] Electronic warfare: Issues and challenges for emitter classification

M Gupta, G Hareesh, AK Mahla - Defence Science Journal, 2011 - core.ac.uk
Electronic warfare (EW) is an important capability that provides advantage to defence forces
over their adversaries. Defence forces gather tactical intelligence through EW sensors …

Radar emitter classification based on unidimensional convolutional neural network

J Sun, G Xu, W Ren, Z Yan - IET Radar, Sonar & Navigation, 2018 - Wiley Online Library
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 …

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 …

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 …

Tracking the mode of operation of multi-function radars

I Arasaratnam, S Haykin, T Kirubarajan… - … IEEE Conference on …, 2006 - ieeexplore.ieee.org
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 …

[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 …

Improvement of RBF neural networks using Fuzzy-OSD algorithm in an online radar pulse classification system

GA Montazer, H Khoshniat, V Fathi - Applied Soft Computing, 2013 - Elsevier
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 …

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 …

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 …