Kernel-function-based models for acoustic localization of underwater vehicles

This paper proposes a novel design for the localization system of autonomous underwater vehicles (AUVs) using acoustic signals. The solution presented exploits models based on kernel functions with two main purposes: 1) to reject outliers; and 2) to correct or improve accuracy of measurements. The l...

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Bibliographic Details
Main Author: Pinheiro, Breno C. (author)
Other Authors: Moreno, Ubirajara F. (author), de Sousa, Joao T. B. (author), Rodríguez, Orlando (author)
Format: article
Language:eng
Published: 2019
Subjects:
Navigation system
Regression
Acoustic localization
Underwater vehicles
Statistical learning theory
Kernel-based models
Online Access:http://hdl.handle.net/10400.1/13075
Country:Portugal
Oai:oai:sapientia.ualg.pt:10400.1/13075

Internet

http://hdl.handle.net/10400.1/13075

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