Anti-Clutter Gaussian Inverse Wishart PHD Filter for Extended Target Tracking

The extended target Gaussian inverse Wishart probability hypothesis density (ET-GIW-PHD) filter overestimates the number of targets under high clutter density. The reason for this is that the source of measurements cannot be determined correctly if only the number of measurements is used. To address...

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Detalles Bibliográficos
Autores principales: Huang, Yuan, Wang, Liping, Wang, Xueying, An, Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928846/
https://www.ncbi.nlm.nih.gov/pubmed/31771242
http://dx.doi.org/10.3390/s19235140

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6928846/
https://www.ncbi.nlm.nih.gov/pubmed/31771242
http://dx.doi.org/10.3390/s19235140

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