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

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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Bibliographic Details
Main Authors: Gao, Wei, Liu, Yalong, Xu, Bo
Format: Online
Language:English
Published: MDPI 2014
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299124/

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4299124/

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