Resolvable Group State Estimation with Maneuver Based on Labeled RFS and Graph Theory †

In this paper, multiple resolvable group target tracking was considered in the frame of random finite sets. In particular, a group target model was introduced by combining graph theory with the labeled random finite sets (RFS). This accounted for dependence between group members. Simulations were pr...

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Detalles Bibliográficos
Autores principales: Liu, Weifeng, Chi, Yudong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6471188/
https://www.ncbi.nlm.nih.gov/pubmed/30875910
http://dx.doi.org/10.3390/s19061307
Descripción
Sumario:In this paper, multiple resolvable group target tracking was considered in the frame of random finite sets. In particular, a group target model was introduced by combining graph theory with the labeled random finite sets (RFS). This accounted for dependence between group members. Simulations were presented to verify the proposed algorithm.

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