Localization of Autonomous Underwater Vehicles using Airborne Visible Light Communication Links

Thumbnail Image

Files

1570891082 final.pdf (536.63 KB)

Links to Files

https://ieeexplore.ieee.org/document/10139492

Permanent Link

https://doi.org/10.1109/WOCC58016.2023.10139492
 http://hdl.handle.net/11603/28701

Collections

UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection
UMBC Student Collection

Author/Creator

Author/Creator ORCID

https://orcid.org/0000-0003-3865-9217
 https://orcid.org/0000-0001-9613-6110

Date

2023-06-07

Type of Work

conference papers and proceedings
preprints
Text

Department

Program

Citation of Original Publication

J. B. Saif, M. Younis, F. -S. Choa and A. Ahmed, "Localization of Autonomous Underwater Vehicles using Airborne Visible Light Communication Links," 2023 32nd Wireless and Optical Communications Conference (WOCC), Newark, NJ, USA, 2023, pp. 1-6, doi: 10.1109/WOCC58016.2023.10139492.

Rights

© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Subjects

Abstract

In an application involving Autonomous Underwater Vehicles (AUV) it is important to track the trajectory and spatially correlate the collected data. Relying on an Inertial Navigation System (INS) while factoring in the initial AUV position would not suffice given the major accumulated errors. Employing surface nodes is a logistically complicated option, especially for missions involving emerging events. This paper proposes a novel localization approach that offers both agility and accuracy. The idea is to exploit a communication mechanism across the air-water interface. In particular, we employ an airborne unit, e.g., a drone, that scans the area of interest and uses visual light communication (VLC) to reach the AUV. In essence, the airborne unit defines virtual anchors with known GPS coordinates. The AUV uses the light intensity of the received VLC transmissions to estimate the range relative to the anchor points and then determine its own global coordinates at various time instances. The proposed approach is validated through extensive simulation experiments. The simulation results demonstrate the viability of our approach and analyze the effect of the VLC parameters.