Improved Bearings-Only Multi-Target Tracking with GM-PHD Filtering

In this paper, an improved nonlinear Gaussian mixture probability hypothesis density (GM-PHD) filter is proposed to address bearings-only measurements in multi-target tracking. The proposed method, called the Gaussian mixture measurements-probability hypothesis density (GMM-PHD) filter, not only app...

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Detalles Bibliográficos
Autores principales: Zhang, Qian, Song, Taek Lyul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038747/
https://www.ncbi.nlm.nih.gov/pubmed/27626423
http://dx.doi.org/10.3390/s16091469

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5038747/
https://www.ncbi.nlm.nih.gov/pubmed/27626423
http://dx.doi.org/10.3390/s16091469

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