Results 21 to 30 of about 11,437 (192)
Densely-Accumulated Convolutional Network for Accurate LPI Radar Waveform Recognition
2021 IEEE Global Communications Conference (GLOBECOM), 2021 Abstract This paper presents a deep learning-based method to automatically recognize low probability of intercept (LPI) radar waveforms against diversified jamming attacks. Concretely, an efficient convolutional neural network (CNN) architecture, namely Densely-Accumulated Network (DANet), is introduced to learn the time-frequency representation ...
Huynh-The, T. (Thien) +6 more
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Radar Operation Mode Recognition via Multifeature Residual-and-Shrinkage ConvNet
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Radar operation mode recognition holds an increasingly critical place in electronic countermeasure as well as in remote sensing. However, the overlapped waveform parameters pose huge challenges to performing the radar operation mode recognition task in ...
Yujie Zhang +6 more
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Radar Waveform Design for Extended Target Recognition under Detection Constraints [PDF]
Mathematical Problems in Engineering, 2012 We address the problem of radar phase‐coded waveform design for extended target recognition in the presence of colored Gaussian disturbance. Phase‐coded waveforms are selected since they can fully exploit the transmit power with sufficient variability.
Meng, Huadong +4 more
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Extended Target Recognition in Cognitive Radar Networks
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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Waveform considerations in space-variant optical processors [PDF]
, 1978 The use of coded waveforms in space-variant optical signal processors using coordinate transformations is considered. It is shown that nonlinear transmitted coded signals must be used with such a processor and that this results in novel waveform design ...
Casasent, David, Psaltis, Demetri
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Radar Waveform Recognition Using Fourier-Based Synchrosqueezing Transform and CNN [PDF]
2019 IEEE 8th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2019 In this paper the problem of recognizing radar waveforms is addressed. Waveform classification is needed in spectrum sharing and radar-communications coexistence, cognitive radars and signal intelligence. Different radar waveforms exhibit different properties in time-frequency domain. We propose a deep learning method for waveform classification.
Koivunen, Visa, Kong, Gyuyeol
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Gait Analysis of Horses for Lameness Detection with Radar Sensors [PDF]
, 2017 This paper presents the preliminary investigation of the use of radar signatures to detect and assess lameness of horses and its severity. Radar sensors in this context can provide attractive contactless sensing capabilities, as a complementary or ...
Fioranelli, F. +4 more
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EURASIP Journal on Wireless Communications and Networking, 2007 Automatic target recognition (ATR) in target search phase is very challenging because the target range and mobility are not yet perfectly known, which results in delay-Doppler uncertainty.
Qilian Liang
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Radar and RGB-depth sensors for fall detection: a review [PDF]
, 2017 This paper reviews recent works in the literature on the use of systems based on radar and RGB-Depth (RGB-D) sensors for fall detection, and discusses outstanding research challenges and trends related to this research field.
Cippitelli, Enea +3 more
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Radar waveform recognition based on a two‐stream convolutional network and software defined radio
IET Radar, Sonar & Navigation, 2022 As one of the key technologies of electromagnetic spectrum operations, radar waveform recognition is an important basis for judging the threat degree of enemy’s weapons.
Yan Xia, Zhiyuan Ma, Zhi Huang
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