Results 41 to 50 of about 2,026,469 (165)
Monostatic and Bistatic Radar Measurements of Birds and Micro-drone [PDF]
, 2016 This paper analyses the experimental results from recent monostatic and bistatic radar measurements of multiple birds as well as a quadcopter micro-drone. The radar system deployed for these measurements was the UCL developed NetRAD system.
Griffiths, Hugh +11 more
core +1 more source
Three-dimensional reconstruction of space rotating target based on narrow-band radar networks
The Journal of Engineering, 2019 The micro-motion of space target is an important signature for classification and recognition, which has received great attention. Based on the micro-Doppler signals from narrow-band radar networks, this study proposes a three-dimensional reconstruction ...
Chao Wang, Shu L. Wen, Chun M. Ye
doaj +1 more source
Three‐dimensional Doppler‐associated radar imaging method based on bi‐directional data processing
IET Radar, Sonar & Navigation, 2022 Using a microwave or millimetre wave radar system, this study aims to achieve highly accurate Doppler velocity estimation and radar imaging that would be suitable for various remote‐sensing sensors, such as self‐driving, surveillance, or security ...
Takumi Hayashi +2 more
doaj +1 more source
River Sand and Gravel Mining: Global Drivers, Impacts, and Pathways for Sustainable Management
Reviews of Geophysics, Volume 64, Issue 3, September 2026.Abstract River sand and gravel are mined worldwide at volumes that now rival their natural replenishment, yet quantitative knowledge of this mining activity and its consequences lags far behind many other global environmental pressures. We synthesize 411 peer‐reviewed studies published since 1974 within a new Driver‐to‐Management Pathway for ...
Edward Park +25 more
wiley +1 more source
Hand Gesture Recognition Using Micro-Doppler Signatures With Convolutional Neural Network
IEEE Access, 2016 In this paper, we investigate the feasibility of recognizing human hand gestures using micro-Doppler signatures measured by Doppler radar with a deep convolutional neural network (DCNN).
Youngwook Kim, Brian Toomajian
doaj +1 more source
Metasurface‐Enabled Active‐Like Passive Radar
Advanced Science, Volume 13, Issue 44, 7 August 2026.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
Assimilation of Velocity Data for Tidal Hydrodynamics Model Calibration
Journal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.Abstract Assessing tidal stream energy resource typically involves the application of numerical models calibrated against sparse Acoustic Doppler Current Profiler (ADCP) data. This introduces significant challenges in energetic sites which are prone to significant spatiotemporal variations, like the Pentland Firth, Scotland, which is home to the world ...
Connor Jordan, Athanasios Angeloudis
wiley +1 more source
Radar target micro-doppler signature classification [PDF]
, 2008 This thesis reports on research into the field of Micro-Doppler Signature (μ-DS) based radar Automatic Target Recognition (ATR) with additional contributions to general radar ATR methodology.
Smith, G.E.
core
Micro-Doppler Ambiguity Resolution Based on Short-Time Compressed Sensing
Journal of Electrical and Computer Engineering, 2015 When using a long range radar (LRR) to track a target with micromotion, the micro-Doppler embodied in the radar echoes may suffer from ambiguity problem.
Jing-bo Zhuang +4 more
doaj +1 more source
Sensors, 2023 Artificial intelligence (AI) radar technology offers several advantages over other technologies, including low cost, privacy assurance, high accuracy, and environmental resilience.
Minh-Khue Ha +6 more
doaj +1 more source