A Novel SINS/DVL Integrated Navigation Method Based on Different Track Models for Complex Environment-Reference-Cited by-同舟云学术

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A Novel SINS/DVL Integrated Navigation Method Based on Different Track Models for Complex Environment

Published:2024 Issue: Volume:73 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Wang Di¹^ORCID,Wang Bing¹^ORCID,Huang Haoqian¹^ORCID,Xu Bing²^ORCID,Zhang Haixu³^ORCID

Affiliation:

1. College of Energy and Electrical Engineering, Hohai University, Nanjing, China

2. Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong, China

3. School of Instrument Science and Engineering, Southeast University, Nanjing, China

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Jiangsu Funding Program for Excellent Postdoctoral Talent

Foundation of Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Ministry of Education, China

Natural Science Foundation of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/19/10367905/10459020.pdf?arnumber=10459020

Reference23 articles.

1. Trajectory Tracking Control of an Autonomous Underwater Vehicle Using Lyapunov-Based Model Predictive Control

2. A Reverse Bearings Only Target Motion Analysis for Autonomous Underwater Vehicle Navigation

3. Improved Underwater Integrated Navigation System using Unscented Filtering Approach

4. A Hybrid IMM Based INS/DVL Integration Solution for Underwater Vehicles

5. An unscented Kalman filter based navigation algorithm for autonomous underwater vehicles

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