A New Frequency Hopping Signal Detection of Civil UAV Based on Improved K-Means Clustering Algorithm

The rapid development of civil UAV promotes the social and economic development, and the frequent "flying illegally" events has brought great challenges to aviation safety and government supervision. The frequency hopping communication system used in UAV data transmission and control link...

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Veröffentlicht in:	IEEE access Jg. 9; S. 53190 - 53204
Hauptverfasser:	Ye, Jiaquan, Zou, Jie, Gao, Jing, Zhang, Guomin, Kong, Mingming, Pei, Zheng, Cui, Kaitao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Air safety Algorithms Bandwidth Civil UAV Cluster analysis Clustering Clustering algorithms Communications systems Data transmission Economic development Electromagnetics Flight safety Frequency estimation Frequency hopping hopping signal detection Interception Jamming Monitoring Noise threshold Parameter estimation Signal detection Signal monitoring Signal processing Time-frequency analysis Unmanned aerial vehicles Vector quantization Waveforms
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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