Resolvable Cluster Target Tracking Based on the DBSCAN Clustering Algorithm and Labeled RFS

When a sensor can resolve the members in a cluster, it is difficult to accurately track each target due to cooperative interaction among the targets. In this paper, we research the tracking problem of resolvable cluster targets with cooperative interaction. Firstly, we use the stochastic differentia...

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Veröffentlicht in:	IEEE access Jg. 9; S. 43364 - 43377
Hauptverfasser:	Xue, Xirui, Huang, Shucai, Xie, Jiahao, Ma, Jiashun, Li, Ning
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Clustering Clustering algorithms cooperative interaction modeling DBSCAN clustering algorithm Differential equations Equations of state Filtering algorithms Filtering theory Force Formulas (mathematics) IIR filters Mathematical model Prediction algorithms Resolvable cluster target tracking stochastic differential equation Target tracking Tracking problem δ-GLMB filter
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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