SINS/GNSS Integrated Navigation Based on Invariant Error Models in Inertial Frame
Author:
Affiliation:
1. Department of Navigation Engineering, Naval University of Engineering, Wuhan, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7361/10433867/10379036.pdf?arnumber=10379036
Reference36 articles.
1. A Hybrid Intelligent Algorithm DGP-MLP for GNSS/INS Integration during GNSS Outages
2. A SINS/SAR/GPS Fusion Positioning System Based on Sensor Credibility Evaluations
3. Initialization of SINS/GNSS Error Covariance Matrix Based on Error States Correlation
4. New optimal smoothing scheme for improving relative and absolute accuracy of tightly coupled GNSS/SINS integration
5. Investigation into the nonlinear Kalman filter to correct the INS/GNSS integrated navigation system
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