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...

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Vydáno v:	Sensors (Basel, Switzerland) Ročník 25; číslo 11; s. 3495
Hlavní autoři:	Han, Bing, Ge, Zilong, Su, Zhigang, Hao, Jingtang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland MDPI AG 31.05.2025 MDPI
Témata:	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
On-line přístup:	Získat plný text
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