A co‐occurrence matrix‐based matching area selection algorithm for underwater gravity‐aided inertial navigation
Author:
Affiliation:
1. School of Automation Beijing Institute Technology Beijing People's Republic of China
2. Nanjing University of Science and Technology Nanjing People's Republic of China
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/rsn2.12021
Reference21 articles.
1. The operational evaluation of an inertial navigation technique for the provision of underwater metrology surveys;Auger F.;Mon. Notices R Astron. Soc.,2015
2. Underwater Inertial Navigation With Long Baseline Transceivers: A Near-Real-Time Approach
3. Autonomous Underwater Vehicle Operations Beneath Coastal Sea Ice
4. Particle Filter for Fault Diagnosis and Robust Navigation of Underwater Robot
5. Nonlinear Dynamic Model-Based State Estimators for Underwater Navigation of Remotely Operated Vehicles
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1. Intelligent Selection Method for Gravity-suitable Area Based on Improved Support Vector Machine by the Genetic Algorithm;Journal of Physics: Conference Series;2023-11-01
2. An Improved Particle Filter Based on Gravity Measurement Feature in Gravity-Aided Inertial Navigation System;IEEE Sensors Journal;2023-01-15
3. A Viterbi Decoder under Class A Modeled Noise in Shallow Water;Wireless Communications and Mobile Computing;2022-06-23
4. Optimizing Matching Area for Underwater Gravity-Aided Inertial Navigation Based on the Convolution Slop Parameter-Support Vector Machine Combined Method;Remote Sensing;2021-10-01
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