Underwater Positioning Algorithm Based on SINS/LBL Integrated System

The interactive assistance of a strap-down inertial navigation system (SINS) and a long baseline (LBL) underwater positioning algorithm based on time of arrival is studied, and this algorithm mainly includes a solution algorithm of equivalent sound velocity, 3-D LBL underwater positioning algorithm...

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Main Authors: Tao Zhang, Liping Chen, Yaxiong Yan
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8263546/
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author Tao Zhang
Liping Chen
Yaxiong Yan
author_facet Tao Zhang
Liping Chen
Yaxiong Yan
author_sort Tao Zhang
collection DOAJ
description The interactive assistance of a strap-down inertial navigation system (SINS) and a long baseline (LBL) underwater positioning algorithm based on time of arrival is studied, and this algorithm mainly includes a solution algorithm of equivalent sound velocity, 3-D LBL underwater positioning algorithm with aided of SINS. The proposed method can quickly get the ideal equivalent sound velocity to calculate the distance from sound source to hydrophones, and effectively reduce the positioning errors caused by the uneven distribution of underwater sound velocity and sound ray bending, with high flexibility and adaptability. The results of simulation indicate that compared with the traditional algorithm, the improved can correct the cumulative error more directly and effectively, and extend the working hours of autonomous underwater vehicles.
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spelling doaj.art-bb2506358576452d9902faab41b0a1092022-12-21T22:10:28ZengIEEEIEEE Access2169-35362018-01-0167157716310.1109/ACCESS.2018.27957998263546Underwater Positioning Algorithm Based on SINS/LBL Integrated SystemTao Zhang0https://orcid.org/0000-0001-9955-3905Liping Chen1Yaxiong Yan2Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, School of Instrument Science and Engineering, Southeast University, Nanjing, ChinaKey Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, School of Instrument Science and Engineering, Southeast University, Nanjing, ChinaKey Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, School of Instrument Science and Engineering, Southeast University, Nanjing, ChinaThe interactive assistance of a strap-down inertial navigation system (SINS) and a long baseline (LBL) underwater positioning algorithm based on time of arrival is studied, and this algorithm mainly includes a solution algorithm of equivalent sound velocity, 3-D LBL underwater positioning algorithm with aided of SINS. The proposed method can quickly get the ideal equivalent sound velocity to calculate the distance from sound source to hydrophones, and effectively reduce the positioning errors caused by the uneven distribution of underwater sound velocity and sound ray bending, with high flexibility and adaptability. The results of simulation indicate that compared with the traditional algorithm, the improved can correct the cumulative error more directly and effectively, and extend the working hours of autonomous underwater vehicles.https://ieeexplore.ieee.org/document/8263546/Long baseline (LBL)TOAunderwater positioningSINS
spellingShingle Tao Zhang
Liping Chen
Yaxiong Yan
Underwater Positioning Algorithm Based on SINS/LBL Integrated System
IEEE Access
Long baseline (LBL)
TOA
underwater positioning
SINS
title Underwater Positioning Algorithm Based on SINS/LBL Integrated System
title_full Underwater Positioning Algorithm Based on SINS/LBL Integrated System
title_fullStr Underwater Positioning Algorithm Based on SINS/LBL Integrated System
title_full_unstemmed Underwater Positioning Algorithm Based on SINS/LBL Integrated System
title_short Underwater Positioning Algorithm Based on SINS/LBL Integrated System
title_sort underwater positioning algorithm based on sins lbl integrated system
topic Long baseline (LBL)
TOA
underwater positioning
SINS
url https://ieeexplore.ieee.org/document/8263546/
work_keys_str_mv AT taozhang underwaterpositioningalgorithmbasedonsinslblintegratedsystem
AT lipingchen underwaterpositioningalgorithmbasedonsinslblintegratedsystem
AT yaxiongyan underwaterpositioningalgorithmbasedonsinslblintegratedsystem