Results 21 to 30 of about 102,830 (273)
ObjectivesIn order to meet the needs of long-distance sea target recognition and tracking through the navigation radar and integrated optoelectronic equipment of an unmanned surface vehicle (USV) operating in a marine environment, a novel USV autonomous ...
Shangjun LI +3 more
doaj +1 more source
Status and Prospects of Radar Polarimetry Techniques
Radar polarimetry is an applied fundamental science field that is focused on understanding interaction processes between radar waves and targets and disclosing their mechanisms.
Wang Xuesong
doaj +1 more source
Fourier independent component analysis of radar micro-Doppler features [PDF]
The capability of discriminating radar targets exhibiting multiple moving parts has become of great interest for both aerospace and ground-based target recognition and analysis.
Addabbo, P., Clemente, C., Ullo, S. L.
core +1 more source
Practical classification of different moving targets using automotive radar and deep neural networks [PDF]
In this work, the authors present results for classification of different classes of targets (car, single and multiple people, bicycle) using automotive radar data and different neural networks.
Angelov, Aleksandar +3 more
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Micro-Doppler Feature Extraction and Recognition Based on Netted Radar for Ballistic Targets
This study examines the complexities of using netted radar to recognize and resolve ballistic midcourse targets. The application of micro-motion feature extraction to ballistic mid-course targets is analyzed, and the current status of application and ...
Feng Cun-qian +3 more
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Radar high-resolution range profile (HRRP) provides geometric and structural information of target, which is important for radar automatic target recognition (RATR).
Wei Yang +16 more
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Personnel recognition and gait classification based on multistatic micro-doppler signatures using deep convolutional neural networks [PDF]
In this letter, we propose two methods for personnel recognition and gait classification using deep convolutional neural networks (DCNNs) based on multistatic radar micro-Doppler signatures.
Chen, Zhaoxi +3 more
core +1 more source
Nonâcooperative target recognition in multistatic radar systems
The ability to recognise quickly and reliably nonâcooperative targets is a primary issue in modern radar systems. The use of multistatic radars has already been demonstrated to improve sensibly the recognition capacity of a radar system, through the exploitation of its inherent spatial diversity, given by the presence of multiple observation channels ...
STINCO, PIETRO +3 more
openaire +2 more sources
Marine target detection and recognition depend on the characteristics of marine targets and sea clutter. Therefore, understanding the essential features of marine targets based on the measured data is crucial for advancing target detection and ...
Jian GUAN +7 more
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Multi-target Micro-motion Feature Extraction Based on Tracking Pulses in MIMO Radar
The micro-motion feature is one of the important characteristic information of spatial target recognition. However, the existing multifunctional Multi-Input Multi-Output (MIMO) radar usually has to allocate a large number of continuous time resources for
Luo Ying +3 more
doaj +1 more source

