Micro-doppler signature extraction and analysis for automotive application
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Giovanneschi, Fabio +2 more
core
Micro-doppler processing for ultra-wideband radar data
, 2012 In this paper, we describe an operational pulse Doppler radar imaging system for indoor target localization and classification, and show how a target’s micro-Doppler signature (µDS) can be processed when ultra-wideband (UWB) waveforms are employed ...
Fauzia Ahmad +2 more
core +1 more source
Multiple frequency continuous wave radar design for micro-doppler extraction
, 2005 This thesis presents the development of a multiple frequency continuous wave radar for micro-Doppler extraction. The radar design incorporates specifications germane to both basic research and personnel detection applications.
Anderson, Michael Glen
core +1 more source
Classification of Human Micro-Doppler in a Radar Network
, 2013 The unique, bi-pedal motion of humans has been shown to generate a characteristic micro-Doppler signature in the time-frequency domain that can be used to discriminate humans from not just other targets, but also between different activities, such as ...
Tekeli, Burkan +4 more
core +1 more source
Micro-Doppler Signature Compensation with Ego-Motion for Moving 4D Radar Platform [PDF]
In radar micro-Doppler analysis, signatures are traditionally extracted using stationary radars with Moving Target Indicator techniques. With the rise of autonomous technologies, such as social robots in assisted living, there is an increasing need to ...
Akaydin, Abdullah +2 more
core +1 more source
A holistic human activity recognition optimisation using AI techniques
IET Radar, Sonar & NavigationBuilding on previous radar‐based human activity recognition (HAR), we expand the micro‐Doppler signature to 6 domains and exploit each domain with a set of handcrafted features derived from the literature and our patents.
Zhenghui Li +4 more
doaj +1 more source
Automated human gait recognition based on micro-doppler signature
, 2017 As a new emerging biometric technology, gait recognition, has become one of the most attractive method in the research of security and surveillance. Gait information can be get without human’s attention and cooperation.
Zhao, Jing
core
Radar target classification based on micro-Doppler signature analysis
, 2016 Automatic target recognition based on features obtained from micro-Doppler signatures has a great potential for surveillance as well as data collection applications.
Léger, Jean
core
A 33 GHz Conformal Phased-Array Radar with Linearly Constrained Minimum Variance Digital Beamforming, Circular- Polarization Filtering, and Neural-Network Micro-Doppler Classification for Counter-UAS Applications. [PDF]
Sensors (Basel)Baginski M.
europepmc +1 more source
Harnessing mmWave signals and machine learning for noninvasive taxonomic classification of insects. [PDF]
PNAS NexusAntony L +5 more
europepmc +1 more source