Robust Huber-Based Iterated Divided Difference Filtering with Application to Cooperative Localization of Autonomous Underwater Vehicles

A new algorithm called Huber-based iterated divided difference filtering (HIDDF) is derived and applied to cooperative localization of autonomous underwater vehicles (AUVs) supported by a single surface leader. The position states are estimated using acoustic range measurements relative to the leade...

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Detalles Bibliográficos
Autores principales: Gao, Wei, Liu, Yalong, Xu, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299124/
https://www.ncbi.nlm.nih.gov/pubmed/25536004
http://dx.doi.org/10.3390/s141224523

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299124/
https://www.ncbi.nlm.nih.gov/pubmed/25536004
http://dx.doi.org/10.3390/s141224523

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