Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Caiyi Lou"'
Publikováno v:
IET Communications, Vol 18, Iss 15, Pp 897-907 (2024)
Abstract Specific emitter identification technology plays a very important role in spectrum resource management, wireless network security, cognitive radio etc. However, in complex electromagnetic environments, the variability and uncertainty of sign
Externí odkaz:
https://doaj.org/article/709a90ee2d074f9faca9752cad464649
Publikováno v:
PeerJ Computer Science, Vol 10, p e2036 (2024)
This article explores the technology of recognizing non-cooperative communication behavior, with a specific emphasis on analyzing communication station signals. Conventional techniques for analyzing signal data frames to determine their identity, whi
Externí odkaz:
https://doaj.org/article/3e45465e735f4ba8ac400a33812b2eec
Publikováno v:
Applied Sciences, Vol 12, Iss 9, p 4380 (2022)
Interference classification plays an important role in anti-jamming communication. Although the existing interference signal recognition methods based on deep learning have a higher accuracy than traditional methods, these have poor robustness while
Externí odkaz:
https://doaj.org/article/08b0910186554cef91c57ae407afbec0
Autor:
Xiaoxia Zou, Dong Fan, Xiaosi Zhang, Caiyi Lou, Miao Yang, Shutao Xu, Quanyi Wang, Peng Tian, Zhongmin Liu
Publikováno v:
Chemical Communications; 5/4/2024, Vol. 60 Issue 36, p4805-4809, 5p
Publikováno v:
IEEE Sensors Journal. 23:9607-9619
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 59:2036-2043
Publikováno v:
IEEE Transactions on Cognitive Communications and Networking. 9:43-57
Publikováno v:
China Communications. :1-16
Publikováno v:
Computer Systems Science and Engineering. 46:1385-1400
Publikováno v:
Wireless Communications and Mobile Computing. 2022:1-14
Cognitive communication behavior is becoming a research hotspot in the field of communication confrontation. In theory, the behavioral intention of noncooperating parties can be obtained by analyzing communication signals. Considering the complexity