Research on a Particle Filtering Multi-Target Tracking Algorithm for Distributed Systems

The growth of unmanned aerial vehicle applications in the low-altitude economy demand advanced multi-target tracking systems. Unlike traditional approaches that assume independent measurements, distributed systems generate coupled measurements containing additional target relationship information. T...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 25; H. 11; S. 3495
Hauptverfasser:	Han, Bing, Ge, Zilong, Su, Zhigang, Hao, Jingtang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 31.05.2025 MDPI
Schlagworte:	Accuracy Algorithms Analysis Cost control coupled measurements data fusion preprocessing Distributed processing (Computers) Drone aircraft Efficiency Innovations Kalman filtering Linear programming Methods multi-objective tracking Noise optimal particle weights Optimization Sensors Surveillance Tracking systems Unmanned aerial vehicles China coupled measurements data fusion preprocessing multi-objective tracking optimal particle weights
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Schreiben Sie den ersten Kommentar!