Results 31 to 40 of about 926 (278)
Deep Learning Techniques in Radar Emitter Identification
, 2023 In the field of electronic warfare (EW), one of the crucial roles of electronic intelligence is the identification of radar signals. In an operational environment, it is very essential to identify radar emitters whether friend or foe so that appropriate ...
Gupta, Preeti, Kakde, O G, Jain, Pooja
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Radar Emitter Signal Analysis with Estimation of Distribution Algorithms
Journal of Networks, 2013 This paper proposes a novel approach (short for iEDA/TFAD) based on estimation of distribution algorithms and time-frequency atom decomposition for analyzing radar emitter signals. In iEDA/TFAD, an improved estimation of distribution algorithm combining Gaussian and Cauchy probability models is presented to implement time-frequency atom decomposition ...
Haina Rong, Jixiang Cheng, Yuquan Li
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Approximate maximum likelihood estimation of two closely spaced sources [PDF]
, 2014 The performance of the majority of high resolution algorithms designed for either spectral analysis or Direction-of-Arrival (DoA) estimation drastically degrade when the amplitude sources are highly correlated or when the number of available snapshots is
Chaumette, Eric +2 more
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Research on modern radar emitter modelling technique under complex electromagnetic environment
The Journal of Engineering, 2019 Since many modern multi-functional radars emitting dense complex signals are applied in the complex electromagnetic environment, it is challenge to classify and identify the radar emitters in the electronic reconnaissance field.
Chunhong Zhang +4 more
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Recognition of Radar Emitters with Agile Waveform Based on Hybrid Deep Neural Network and Attention Mechanism [PDF]
Radioengineering, 2021 With the increasing complexity of the electromagnetic environment and the continuous development of radar technology, more and more modern digital programmable radars using agile waveform will appear in the future battlefield.
Y. Feng +6 more
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Progress in Radar Emitter Signal Deinterleaving
Leida xuebao, 2022 Radar emitter signal deinterleaving is a key technology for radar signal reconnaissance and an essential part of battlefield situational awareness. This paper systematically sorts out the mainstream technology of radar emitter signal deinterleaving. It summarizes the main research progress in radar emitter signal deinterleaving from three directions ...
Jinping SUI, Zhen LIU, Li LIU, Xiang LI
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Multi-Band Passive Radar Imaging Using Satellite Illumination
, 2022 S.7-12Over the last years the interest has grown over imaging capabilities of passive radars. In particular, the MAPIS (Multi-chAnnel Passive ISAR for military application) project funded by EDA (european defence agency) has shown the potential of ISAR ...
Cristallini, D. +2 more
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Radar Signals Intrapulse Modulation Recognition Using Phase-Based STFT and BiLSTM
IEEE Access, 2022 The goal of radar emitter recognition (RER) is to extract the features of the received emitter signal. This has become a critical issue as new radar types are emerging, and the electromagnetic environment is becoming denser and more complex.
Sidra Ghayour Bhatti, Aamer Iqbal Bhatti
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A new clustering and sorting algorithm for radar emitter signals
Journal of Physics: Conference Series, 2020 Abstract The traditional k-means clustering algorithm needs to set parameters manually in radar signal sorting application, which is sensitive to isolated points and prone to “batch” phenomenon, and the selection of initial clustering center has a direct impact on clustering effect.
MingWei Li +3 more
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Radar emitter intrapulse signal blind sorting under modified wavelet denoising
The Journal of Engineering, 2019 With the electromagnetic environment becoming more and more complex and the analysis demand of the radar emitter intropulse signal presenting more and more urgent, a modified method of the radar emitter intrapulse signal blind sorting under wavelet ...
Xuebao Wang +5 more
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