Zobrazeno 1 - 10
of 209
pro vyhledávání: '"micro‐Doppler effect"'
Autor:
Si Ran Wang, Jun Yan Dai, Jun Chen Ke, Zhan Ye Chen, Qun Yan Zhou, Zhen Jie Qi, Ying Juan Lu, Yan Huang, Meng Ke Sun, Qiang Cheng, Tie Jun Cui
Publikováno v:
Advanced Science, Vol 11, Iss 19, Pp n/a-n/a (2024)
Abstract Micro‐Doppler effect is a vital feature of a target that reflects its oscillatory motions apart from bulk motion and provides an important evidence for target recognition with radars. However, establishing the micro‐Doppler database pose
Externí odkaz:
https://doaj.org/article/1a07ea98cac446e69966addd27295095
Publikováno v:
Sensors, Vol 24, Iss 8, p 2530 (2024)
Activity recognition is one of the significant technologies accompanying the development of the Internet of Things (IoT). It can help in recording daily life activities or reporting emergencies, thus improving the user’s quality of life and safety,
Externí odkaz:
https://doaj.org/article/a70e9c8101d447beb7326797e891e584
Publikováno v:
IET Radar, Sonar & Navigation, Vol 17, Iss 2, Pp 236-246 (2023)
Abstract Radar enables a convenient, contactless way for gait analysis in daily scenarios, such as in‐home health monitoring. However, the overlapping of human limb components could occur in both range and velocity dimensions of the radar echo, whi
Externí odkaz:
https://doaj.org/article/60c08082867249d2a14957ed531e5aba
Publikováno v:
Leida xuebao, Vol 11, Iss 5, Pp 794-804 (2022)
Micro-motion clutter typically exhibits significant Doppler broadening, raises the noise floor, and annihilates weak targets, resulting in false alarms and missed detections. Removing micro-motion clutter effectively is critical to improving radar pe
Externí odkaz:
https://doaj.org/article/bef059cffb00485da0b89fc928cbfdf9
Publikováno v:
Sensors, Vol 24, Iss 2, p 583 (2024)
Accurately classifying and identifying non-cooperative targets is paramount for modern space missions. This paper proposes an efficient method for classifying and recognizing non-cooperative targets using deep learning, based on the principles of the
Externí odkaz:
https://doaj.org/article/4b94d3a4f093401d9c71c2d0b3589c9b
Publikováno v:
Drones, Vol 8, Iss 1, p 20 (2024)
This study addresses the growing concern over the impact of small unmanned aerial vehicles (UAVs), particularly rotor UAVs, on air traffic order and public safety. We propose a novel method for micro-Doppler feature extraction in multi-rotor UAVs wit
Externí odkaz:
https://doaj.org/article/fdecd346293e4a77875c661020ea08e0
Publikováno v:
IEEE Access, Vol 10, Pp 57574-57587 (2022)
For the typical multi-component periodic micro-Doppler signal parameter estimation, a helicopter rotor feature extraction method based on flicker phenomenon and phase compensation is proposed in this paper. The method firstly analyzes the formation m
Externí odkaz:
https://doaj.org/article/743c020b817d49c08391ba8325af9075
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
Sensors, Vol 23, Iss 19, p 8066 (2023)
At present, the micro-Doppler effects of underwater targets is a challenging new research problem. This paper studies the micro-Doppler effect of underwater targets, analyzes the moving characteristics of underwater micro-motion components, establish
Externí odkaz:
https://doaj.org/article/41219d0b927a494ca4b52edd2adaaa48
Publikováno v:
IEEE Access, Vol 8, Pp 37914-37925 (2020)
Radar-based sensors do not require optimal lighting and atmospheric conditions and nonocclusion, making them a promising solution for human behavior analysis in complex environments. Existing radar-based models generally retrieve features from either
Externí odkaz:
https://doaj.org/article/86db29b0a34d4ed8bdfb076f6d8fab73