A calibration method of DVL in integrated navigation system based on particle swarm optimization-Reference-Cited by-同舟云学术

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A calibration method of DVL in integrated navigation system based on particle swarm optimization

Published:2022-01 Issue: Volume:187 Page:110325
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Li Ding,Xu Jiangning,Zhu Bing,He Hongyang

Funder

Natural Science Foundation of Hubei Province

National Natural Science Foundation of China

Harbin Engineering University

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference32 articles.

1. AUV navigation and localization: a review;Paull;IEEE J. Oceanic Eng.,2014

2. Inertial navigation system/doppler velocity log (INS/DVL) fusion with partial DVL measurements;Tal;Sensors,2017

3. Systematic error elimination using additive measurements and combination of two low cost IMSs;Kopáčik;IEEE Sens. J.,2016

4. A novel grid SINS/DVL integrated navigation algorithm for marine application;Kang;Sensors,2018

5. A correction method for DVL measurement errors by attitude dynamics;Liu;IEEE Sens. J.,2017

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1. High Accuracy Reconstruction of Airborne Streak Tube Imaging LiDAR Using Particle Swarm Optimization;Applied Sciences;2024-08-05

2. Robust adaptive non‐linear alignment algorithm for SINS/DVL integrated navigation system based on variational Bayesian;IET Science, Measurement & Technology;2024-06-10

3. Underwater inertial error rectification with limited acoustic observations;Satellite Navigation;2024-02-05

4. A water track laser Doppler velocimeter for use in underwater navigation;Measurement Science and Technology;2024-02-02

5. Calibration method of DVL based on position observation information;Measurement;2024-02

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