Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Xingshuai Qiao"'
Publikováno v:
Remote Sensing, Vol 16, Iss 12, p 2129 (2024)
The Doppler band compensated by the keystone transform (KT) is limited. Therefore, it needs to be used in conjunction with the Doppler ambiguity compensation function to correct the range migration (RM) caused by maneuvering targets with Doppler ambi
Externí odkaz:
https://doaj.org/article/066fca93a9c9445db99212b6b7f63437
Publikováno v:
Remote Sensing, Vol 16, Iss 10, p 1813 (2024)
Reference signal reconstruction serves as a crucial technique for suppressing multipath interference and noise in the reference channel of passive radar. Aiming at the challenge of detecting Low-Slow-Small (LSS) targets using Digital Terrestrial Mult
Externí odkaz:
https://doaj.org/article/b6adeb65876f4014ac9a533d952c79a3
Publikováno v:
IEEE Sensors Journal. 22:8846-8857
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-14
Human activity classification based on micro-Doppler (m-D) signatures finds applications in surveillance, search and rescue operations, and healthcare. In this article, we propose a new approach for human activity classification. This approach deals
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-17
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-15
Traditional micro-Doppler (m-D)-based human activity classification system using monostatic radar suffers from the drawback that classification performance is vulnerable to the variation of human motion aspect angle. This leads to a performance degra
Publikováno v:
Seventh Asia Pacific Conference on Optics Manufacture (APCOM 2021).
Publikováno v:
2021 7th International Conference on Condition Monitoring of Machinery in Non-Stationary Operations (CMMNO).
Radar as an important part of modern air defense combat system has an extremely important use value. In recent decades, the research of radar signal processing has made great progress. Due to the wide application and rapid development of large-scale
Publikováno v:
Electronics Letters. 56:195-196
In this Letter, the authors propose a method for personnel recognition using deep convolutional neural networks (DCNNs) based on human micro-Doppler (m-D) signal separation. In which, the m-D separation algorithm is firstly performed to separate m-D
Publikováno v:
Electronics Letters (Wiley-Blackwell). 2/20/2020, Vol. 56 Issue 4, p195-196. 2p. 1 Diagram, 2 Charts, 2 Graphs.