A Coverage-Based Cooperative Detection Method for CDUAV: Insights from Prediction Error Pipeline Modeling

To address the challenges of detection and acquisition caused by trajectory prediction errors during the midcourse–terminal guidance handover phase in cross-domain unmanned aerial vehicles (CDUAV), this study proposes a collaborative multi-interceptor detection coverage optimization method based on...

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Veröffentlicht in:	Drones (Basel) Jg. 9; H. 6; S. 397
Hauptverfasser:	Li, Jiong, Feng, Xianhai, He, Yangchao, Shao, Lei
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.06.2025
Schlagworte:	Accuracy Algorithms Collaboration Computational efficiency Confidence intervals Control systems cooperative detection coverage optimization cross-domain unmanned aerial vehicle Deep learning Drone aircraft Error correction & detection Error reduction Interceptors Mathematical optimization Methods midcourse–terminal guidance handover Modelling Monte Carlo simulation Morphology Optimization prediction error Statistical analysis Statistical methods Target acquisition Terminal guidance Unmanned aerial vehicles Wireless sensor networks China
ISSN:	2504-446X, 2504-446X
Online-Zugang:	Volltext
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