Title | ||
---|---|---|
A Characteristic Parameter Matching Algorithm for Gravity-Aided Navigation of Underwater Vehicles. |
Abstract | ||
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The gravity matching algorithm is a key of the gravity-aided inertial navigation system (INS). The traditional matching algorithm connects only the measured gravity anomaly data to the position of the carrier according to a certain method to correct the inertial error. The gravitational field characteristic parameters should also be considered in the matching algorithm to improve the matching accu... |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/TIE.2018.2831171 | IEEE Transactions on Industrial Electronics |
Keywords | Field | DocType |
Gravity,Inertial navigation,Particle filters,Underwater vehicles,Trajectory,Approximation algorithms | Inertial navigation system,Inertial frame of reference,Gravitational field,Control theory,Particle filter,Rigid transformation,Gravity anomaly,Engineering,Blossom algorithm,Trajectory | Journal |
Volume | Issue | ISSN |
66 | 2 | 0278-0046 |
Citations | PageRank | References |
2 | 0.36 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Bo Wang | 1 | 89 | 16.94 |
Jingwei Zhu | 2 | 2 | 0.36 |
Zhi-Hong Deng | 3 | 185 | 23.33 |
Mengyin Fu | 4 | 814 | 60.59 |