Title
Research on Dynamic Inertial Estimation Technology for Deck Deformation of Large Ships.
Abstract
Many kinds of weapon systems and launching equipment on the deck of large ships are easily affected by deck deformation. In order to ensure the accuracy of weapon systems and the safety of taking off and landing of carrier aircraft, a dynamic estimation method combining the main inertial navigation systems (INS) and the sub-inertial navigation systems (SINS) is designed to estimate the curvature and torsion of any trajectory on the deck. Our contributions start from the fact that the area of concern extends from the fixed points to any trajectory on the deck. The dynamic filter algorithm of wavelet combined with Kalman filter is used to process the acquired data. The wavelet method is used to remove the outliers in the acquired data, and the Kalman filter effectively reduces the influence of white noise, so that the estimation accuracy is guaranteed. The simulation results clearly show that the deck deformation of large ships can be obtained accurately in real-time over the observed area which proved that this dynamic inertial measurement method is feasible in practical engineering application.
Year
DOI
Venue
2019
10.3390/s19194167
SENSORS
Keywords
Field
DocType
gyro sensor,deck deformation,dynamic inertial estimation,Kalman filter,wavelet
Inertial navigation system,Inertial frame of reference,Curvature,Control theory,Electronic engineering,Kalman filter,White noise,Deck,Engineering,Trajectory,Wavelet
Journal
Volume
Issue
ISSN
19
19.0
1424-8220
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Bo Ren100.34
Tianjiao Li200.34
Xiang Li3566.55