Results 1 to 10 of about 6,781,125 (373)
Radar Target Classification Using Neural Network and Median Filter [PDF]
Radioengineering, 2001 The paper deals with Radar Target Classification based on the use ofa neural network. A radar signal was acquired from the output of a Jfrequency band noncoherent radar.
J. Kurty, Z. Matousek
doaj +4 more sources
Sensors, 2020 Radar network systems have been demonstrated to offer numerous advantages for target tracking. In this paper, a low probability of intercept (LPI)-based joint dwell time and bandwidth optimization strategy is proposed for multi-target tracking in a radar
Lintao Ding +3 more
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The Global High Frequency Radar Network [PDF]
Frontiers in Marine Science, 2019 Academic, government, and private organizations from around the globe have established High Frequency radar (hereinafter, HFR) networks at regional or national levels. Partnerships have been established to coordinate and collaborate on a single global HFR network (http://global-hfradar.org/ ).
Hugh Roarty +31 more
openaire +12 more sources
Fuzzy Chance-constrained Programming Based Security Information Optimization for Low Probability of Identification Enhancement in Radar Network Systems [PDF]
Radioengineering, 2015 In this paper, the problem of low probability of identification (LPID) improvement for radar network systems is investigated. Firstly, the security information is derived to evaluate the LPID performance for radar network.
C. G. Shi, F. Wang, J.J. Zhou, J. Chen
doaj +4 more sources
Remote Sensing, 2019 Quantifying nocturnal bird migration at high resolution is essential for (1) understanding the phenology of migration and its drivers, (2) identifying critical spatio-temporal protection zones for migratory birds, and (3) assessing the risk of collision ...
Raphaël Nussbaumer +5 more
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Statistical Detection of Coordination in a Cognitive Radar Network through Inverse Multi-objective Optimization [PDF]
arXiv, 2023 Consider a target being tracked by a cognitive radar network. If the target can intercept noisy radar emissions, how can it detect coordination in the radar network? By 'coordination' we mean that the radar emissions satisfy Pareto optimality with respect to multi-objective optimization over the objective functions of each radar and a constraint on ...
Krishnamurthy, Vikram, Snow, Luke
arxiv +2 more sources
Artificial neural network approach in radar target classification [PDF]
, 2009 Problem statement: This study unveils the potential and utilization of Neural Network (NN) in radar applications for target classification. The radar system under test is a special of it kinds and known as Forward Scattering Radar (FSR).
Ibrahim, N. K. +2 more
core +4 more sources
Extended Target Recognition in Cognitive Radar Networks [PDF]
Sensors, 2010 We address the problem of adaptive waveform design for extended target recognition in cognitive radar networks. A closed-loop active target recognition radar system is extended to the case of a centralized cognitive radar network, in which a generalized ...
Xiqin Wang +3 more
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Spatio-Temporal-Frequency Graph Attention Convolutional Network for Aircraft Recognition Based on Heterogeneous Radar Network [PDF]
IEEE Transactions on Aerospace and Electronic Systems, 2022 This article proposes a knowledge- and data-driven graph neural network-based collaboration learning model for reliable aircraft recognition in a heterogeneous radar network.
Hann Meng +5 more
semanticscholar +1 more source
Assessing and mitigating the radar–radar interference in the German C-band weather radar network [PDF]
Atmospheric Measurement Techniques, 2023 The national German weather radar network operates in C-band between 5.6 and 5.65 GHz. In a radar network, individual transmit frequencies have to be chosen such that radar–radar-induced interferences are avoided.
M. Frech +4 more
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