Results 41 to 50 of about 5,738 (222)
IEEE Access, 2022 Classification of multiple drones and birds by comparing micro-Doppler (MD) signatures is a very difficult task because the MD signatures of multiple birds can contaminate the MD signature of drones, and because a single drone can yield a very similar MD
Sewon Yoon +7 more
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UAV Recognition Based on Micro-Doppler Dynamic Attribute-Guided Augmentation Algorithm
Remote Sensing, 2021 A micro-Doppler signature (m-DS) based on the rotation of drone blades is an effective way to detect and identify small drones. Deep-learning-based recognition algorithms can achieve higher recognition performance, but they needs a large amount of sample
Caidan Zhao +4 more
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The Journal of Engineering, 2019 Micro-Doppler (m-D) effect is a unique signature of radar targets with micro-motion, which provides a new technique for target recognition. Passive radar based on communication signal has a great significance in detection and recognition for micro-motion
Xiao-yu Qu +3 more
doaj +1 more source
Review of micro‐Doppler signatures
IET Radar, Sonar & Navigation, 2015 Micro‐Doppler signals refer to Doppler scattering returns produced by the motions of the target other than gross translation. The small micro‐motions of a subject, and even just parts of a subject, can be observed through the micro‐Doppler signature it creates in response to an active emitter such as a radar, laser, and even acoustic emitters.
openaire +1 more source
Advanced Materials Technologies, EarlyView.This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source
Sensors, 2021 In this paper, we propose a cooperative linear discriminant analysis (LDA)-based motion classification algorithm for distributed micro-Doppler (MD) radars which are connected to a data fusion center through the limited backhaul.
Yonggi Hong, Yunji Yang, Jaehyun Park
doaj +1 more source
Metasurface‐Enabled Active‐Like Passive Radar
Advanced Science, EarlyView.A programmable space‐time‐coding metasurface embeds distinct spatiotemporal tags into ambient wireless signals, allowing passive radar to operate in an active‐like manner. By enabling code‐correlated reconstruction under interference, the approach supports robust real‐time UAV tracking in complex environments and points to intelligent, low‐power ...
Mingyi Li +7 more
wiley +1 more source
Advanced Science, EarlyView.A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source
Template free Micro Doppler Signature Classification for Wheeled and Tracked Vehicles
, 2019 The micro-Doppler signature is a time-varying frequency modulation imparted on radar echo caused by target’s micro-motion. To save the trouble of constructing template in the target classification, this paper investigates the micro-Doppler signature of ...
Zhang, Yongsheng +3 more
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The radar signature of the Wind Lens: a less disruptive wind turbine? [PDF]
, 2012 We study the radar signature of a new type of wind turbine, named the Wind Lens. This design includes a flanged shroud around the turbine which concentrates the wind flow past the turbine blades and hence improves the efficiency.
H. Griffiths +9 more
core +1 more source