Results 81 to 90 of about 1,468 (180)

Radar UAV and bird signature comparisons with micro-Doppler [PDF]

, 2021
Ritchie, M, Peters, N, Horne, C
openaire   +2 more sources

A new simulation methodology for generating accurate drone micro‐Doppler with experimental validation

IET Radar, Sonar & Navigation
Unmanned Aerial Vehicles, or drones, pose a significant threat to privacy and security. To understand and assess this threat, classification between different drone models and types is required.
Matthew Moore, Duncan A. Robertson, Samiur Rahman   +2 more
doaj   +1 more source

Poster Sessions

HemaSphere, Volume 10, Issue S1, June 2026.
wiley   +1 more source

Radar target classification by micro-Doppler contributions.

, 2019
This thesis studies non-cooperative automatic radar target classification. Recent developments in silicon-germanium and monolithic microwave integrated circuit technologies allows to build cheap and powerful continuous wave radars. Availability of radars opens new applications in different areas. One of these applications is security.
openaire   +2 more sources

ePoster

European Journal of Neurology, Volume 33, Issue S1, June 2026.
wiley   +1 more source

3-D Micro-Motion Features Estimation of Smooth Symmetric Nutating Cone Based on Monostatic Radar

Remote Sensing
Micro-motion features of targets, such as nutation and coning, play a crucial role in radar-based target recognition and classification. This paper addresses the challenge of extracting three-dimensional micro-motion parameters from smooth symmetric ...
Fulong Xu, Ying Luo, Hang Yuan, Zhihao Wang, Kaiming Li   +4 more
doaj   +1 more source

Development of a networked photonic‐enabled staring radar testbed for urban surveillance

IET Radar, Sonar & Navigation
Urban surveillance of slow‐moving small targets such as drones and birds in low to medium airspace using radar presents significant challenges. Detecting, locating and identifying such low observable targets in strong clutter requires both innovation in ...
Mohammed Jahangir, Darren Griffiths, Daniel White, Gwynfor Donlan, Xiaofei Ren, Jithin Kannanthara, Yeshpal Singh, Joseph P. Wayman, Chris J. Baker, Jon P. Sadler, S. James Reynolds, Michail Antoniou   +11 more
doaj   +1 more source

Evaluation of Higher-Level Instrumental Activities of Daily Living via Micro-Doppler Radar Sensing of Sit-to-Stand-to-Sit Movement. [PDF]

IEEE J Transl Eng Health Med, 2020
Saho K, Uemura K, Fujimoto M, Matsumoto M.   +3 more
europepmc   +1 more source

Analysis of the Information Content of Recognition Features of Small-Sized Unmanned Aerial Vehicles Based on Real S-Band Pulse Radar Recordings

Доклады Белорусского государственного университета информатики и радиоэлектроники
An approach to analyzing classification features for radar recognition of small unmanned aerial vehic­ les based on spectral radar portraits generated from real S-band pulsed radar recordings is developed and stu­ died.
A. Khramiankou, V. Chyhrai
doaj   +1 more source

Human Activity Recognition Based on Deep Learning and Micro-Doppler Radar Data. [PDF]

Sensors (Basel)
Tan TH, Tian JH, Sharma AK, Liu SH, Huang YF.   +4 more
europepmc   +1 more source