Improvements in the Estimated Time of Flight of Acoustic Signals for AUV Localization

• Type: Article in International Conference Proceedings Book
• Date: 2013-09-26

Authors

B. C. Pinheiro (Author) Other; U. F. Moreno (Author) Other; João Tasso Sousa (Author) FEUP; O. C. Rodrigues (Author) Other

Conference proceedings International

Title: 2013 MTS/IEEE OCEANS - BERGEN

MTS/IEEE OCEANS Conference

Bergen, NORWAY, JUN 10-14, 2013

Indexing

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Other information

Authenticus ID: P-008-FKP

DOI: 10.1109/oceans-bergen.2013.6608178

Abstract (EN): The problem acoustic localization for autonomous underwater vehicles (AUVs) is discussed in the framework of kernel-based models. The approach consists of improving the measurement of time of fligth of acoustic signals with the help of the Auto-Associative Kernel Regression (AAKR). This makes localization less sensitive to perturbations in the acoustic channel improving the estimation filter convergence. Field tests with vehicle confirmed these claims.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 6