Results 21 to 30 of about 5,844 (217)
Sensors, 2022 In this study, the authors present the accurate imaging of the behavior of simultaneous operations of multiple low radar cross-section (RCS) aerial targets.
Harish C. Kumawat, A Arockia Bazil Raj
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Augmentation of Doppler Radar Data Using Generative Adversarial Network for Human Motion Analysis [PDF]
Healthcare Informatics Research, 2019 ObjectivesHuman motion analysis can be applied to the diagnosis of musculoskeletal diseases, rehabilitation therapies, fall detection, and estimation of energy expenditure.
Ibrahim Alnujaim, Youngwook Kim
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A Trajectory-Driven 3D Channel Model for Human Activity Recognition
IEEE Access, 2021 This paper concerns the design, analysis, and simulation of a 3D non-stationary channel model fed with inertial measurement unit (IMU) data. The work in this paper provides a framework for simulating the micro-Doppler signatures of indoor channels for ...
Ahmed Abdelgawwad +2 more
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Developments in target micro-doppler signatures analysis: radar imaging, ultrasound and through-the-wall radar [PDF]
, 2013 Target motions, other than the main bulk translation of the target, induce Doppler modulations around the main Doppler shift that form what is commonly called a target micro-Doppler signature.
Soraghan, J. J. +5 more
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Coupled micro-Doppler signatures of closely located targets [PDF]
Physical Review B, 2019 The classical Doppler shift originates from the movement of a target's center of mass, but it does not hold information about the internal dynamics of the scattering object. In contrast, micro-Doppler signatures contain data about the micro-motions that arise from internal degrees of freedom within the target (such as rotation and vibration), which can
Kozlov, Vitali +4 more
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Measurements and analysis of multistatic and multimodal micro-Doppler signatures for automatic target classification [PDF]
, 2014 The purpose of this paper is to present an experimental trial carried out at the Defence Academy of the United Kingdom to measure simultaneous multistatic and multimodal micro-Doppler signatures of various targets, including humans and flying UAVs ...
Marcio Perassoli +5 more
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Multistatic human micro-Doppler classification of armed/unarmed personnel [PDF]
, 2015 Classification of different human activities using multistatic micro-Doppler data and features is considered in this paper, focusing on the distinction between unarmed and potentially armed personnel.
Griffiths, Hugh +8 more
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Analysis of micro-Doppler signatures
IEE Proceedings - Radar, Sonar and Navigation, 2003 Mechanical vibration or rotation of a target or structures on the target may induce additional frequency modulations on the returned radar signal which generate sidebands about the target's Doppler frequency, called the micro-Doppler effect. Micro-Doppler signatures enable some properties of the target to be determined.
V.C. Chen, F. Li, S.-S. Ho, H. Wechsler
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Towards Adversarial Denoising of Radar Micro-Doppler Signatures [PDF]
2019 International Radar Conference (RADAR), 2019 Generative Adversarial Networks (GANs) are considered the state-of-the-art in the field of image generation. They learn the joint distribution of the training data and attempt to generate new data samples in high dimensional space following the same distribution as the input.
Karim Armanious +4 more
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DeepActivity: a micro-Doppler spectrogram-based net for human behaviour recognition in bio-radar
The Journal of Engineering, 2019 The movements of the human body and limbs result in unique micro-Doppler signatures, which can be exploited for classifying human activities. In this work, the authors propose a Convolutional Gated Recurrent Units Neural Network (CNN-GRU) to classify ...
Hao Du +3 more
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