Sensor Fusion of Gaussian Mixtures for Ballistic Target Tracking in the Re-Entry Phase

A sensor fusion methodology for the Gaussian mixtures model is proposed for ballistic target tracking with unknown ballistic coefficients. To improve the estimation accuracy, a track-to-track fusion architecture is proposed to fuse tracks provided by the local interacting multiple model filters. Dur...

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Detalles Bibliográficos
Autores principales: Lu, Kelin, Zhou, Rui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017454/
https://www.ncbi.nlm.nih.gov/pubmed/27537883
http://dx.doi.org/10.3390/s16081289

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5017454/
https://www.ncbi.nlm.nih.gov/pubmed/27537883
http://dx.doi.org/10.3390/s16081289

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