Joint Probabilistic Data Association Filter with Unknown Detection Probability and Clutter Rate

This paper proposes a novel joint probabilistic data association (JPDA) filter for joint target tracking and track maintenance under unknown detection probability and clutter rate. The proposed algorithm consists of two main parts: (1) the standard JPDA filter with a Poisson point process birth mode...

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Detalles Bibliográficos
Autores principales: He, Shaoming, Shin, Hyo-Sang, Tsourdos, Antonios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795933/
https://www.ncbi.nlm.nih.gov/pubmed/29346290
http://dx.doi.org/10.3390/s18010269

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5795933/
https://www.ncbi.nlm.nih.gov/pubmed/29346290
http://dx.doi.org/10.3390/s18010269

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