Robust Wireless Localization in UAV Swarm Networks: A Deep-Graph-Generator-Assisted Convex Optimization Approach

Accurate and reliable localization is a prerequisite for unmanned aerial vehicle (UAV) swarm applications. However, conventional global positioning system or radio frequency-based localization systems often do not function effectively in highly dynamic and unstable mobile ad-hoc environments. This a...

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Veröffentlicht in:	IEEE internet of things journal Jg. 12; H. 20; S. 41664 - 41677
Hauptverfasser:	Chen, Yu-Jia, Huang, Hai-Yan, Chen, Min-Wei, Ku, Meng-Lin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 15.10.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accuracy Anomaly detection Autonomous aerial vehicles Convex hulls convex optimization Convexity deep learning Global Positioning System Global positioning systems GPS Graphical representations Knapsack problem Localization Location awareness Maximum likelihood estimation Measurement errors Optimization received signal strength (RSS) Robustness Signal strength Uncertainty unmanned aerial vehicle (UAV) Unmanned aerial vehicles wireless localization Wireless sensor networks
ISSN:	2327-4662, 2327-4662
Online-Zugang:	Volltext
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