1. X. Liu, B. D. Chen, S. Y. Wang,S. Y. Du, “Correntropy based Divided Difference Filtering for the Positioning of Ships,” Sensors, Vol. 18, No. 11, pp. 4080, DOI.org/10.3390/s18114080, 2018 2. Y. Meng, W. Wang, H. Han,M. Y. Zhang, “A Vision/Radar/INS Integrated Guidance Method for Shipboard Landing,” IEEE Transactions on Industrial Electronics, Vol. 1, No. 1, pp. 99, DOI: 10.1109/TIE. 2019.2891465, 2019 3. C. Zhang, C. Guo,D. H. Zhang, “Data Fusion based on Adaptive Interacting Multiple Model for GPS/INS Integrated Navigation System,” Applied Sciences, Vol. 8, No. 9, pp. 1682, DOI:10.3390/ app8091682, 2018 4. A. B. Qiu, J. J. Shi, X. L. Feng,B. L. Guan, “A Navigational Information Fusion Algorithm based on Model Library,” Navigation of China, Vol. 36, No. 3, pp. 5-9, 2013 5. W. Xiong, L. J. Zhuang, H. Weng,Y. F. Liu, “Method of Federated Kalman Filtering in INS/ESGM/Doppler Integrated Navigation System,” Journal of Chinese Inertial Technology, Vol. 9, No. 1, pp. 1-11, 2001 6. J. H.Wu and H. C. Zhang, “Data Fusion Algorithm Design of GPS/IMU based on Fuzzy Adaptive Federated Kalman Filter,” inProceedings of the 2nd International Congress on Image and Signal Processing, pp. 1-4, 2009 7. Y. Li, “Optimal Multisensor Integrated Navigation Through Information Space Approach,” Physical Communication, Vol. 13, pp. 44-53, 2014 8. M. W.Liu and F. F. Xiong, “A Fuzzy Adaptive GPS/INS Integrated Navigation Algorithm,”Procedia Engineering, Vol. 15, pp. 660-664, 2011 9. J. R. Li, H. Y. Li, G. J. Tang,Y. Z. Luo, “Research on the Strategy of Angles-Only Relative Navigation for Autonomous Rendezvous,” Science China Technological Sciences, Vol. 54, No. 7, pp. 1865-1872, 2011 10. Q. B. Ge, “Networked Fusion with Out-of-Sequence Information and its Application in Ship Integrated Navigation,” Shanghai Maritime University, 2008 11. X. S. Wang, H. J. Zhou,S. Y. Zhang, “Relative Navigation Between Vessels based on GPS Single Difference,” Journal of Chinese Inertial Technology, Vol. 20, No. 4, pp. 464-467, 2012 12. M. Liu, X. L. Feng, J. J. Shi,A. B. Qiu, “Optimal Positioning Algorithm for Integrated Relative Navigation of Ships,” Navigation of China, Vol. 37, No. 4, pp. 6-11, 2014 13. X. X. Liu, X. S. Xu, L. H. Wang, Y. Y. Li,Y. T. Liu, “H∞ Filter for Flexure Deformation and Lever Arm Effect Compensation in M/S INS Integration,” International Journal of Naval Architecture and Ocean Engineering, Vol. 6, No. 3, pp. 626-637, 2014 14. Y. Liu, H. W. Wang,S. S. Gao, “Research on Technology of Tightly Integrated Navigation based on H∞ Filtering the High Dynamic Circumstance,” Fire Control and Command Control, Vol. 35, No. 11, pp. 184-187, 2010 15. W. Zhao, X. Yuan,X. Y. Lin, “Research on GPS /INS Integration based on H∞ Filter,” Journal of Astronautics, Vol. 23, No. 3, pp. 39-43, 2002 16. Z. R.Xing and Y. Q. Xia, “Comparison of Centralised Scaled Unscented Kalman Filter and Extended Kalman Filter for Multisensor Data Fusion Architectures,” IET Signal Processing, Vol. 10, No. 4, pp. 359-365, 2016 17. Y. S. Lin, A. K. Xue, and J. X. Qian, “Discrete-Time H∞ Fusion Filter in Data Fusion System,” in Proceedings of 2003 IEEE Conference on Control Applications, pp. 1420-1424, 2003 18. Q. H. Li, H. J. Wang, and W. H. Zhang, “Centralized H∞ Fusion Filter Design in Multi-Sensor Data Fusion System,” in Proceedings of 2008 IEEE Conference on Robotics, Automation and Mechatronics, pp. 603-607, 2008 19. M. Bai and M H. Li, “Application of an Adaptive Sequential Kalman Filter to SINS/GPS Navigation Data Fusion,” in Proceedings of 2012 World Congress on Intelligent Control and Automation, pp. 4309-4314, 2012 20. X. L. Feng, C. L. Wen, and L. Z. Xu, “Multi-Sensor Multi-OOSM Distributed Sequential Fusion Filtering,” in Proceedings of 2013 IEEE International Conference on Control and Automation, pp. 772-776, 2013 21. T. Tian, S. L. Sun,H. L. Lin, “Distributed Fusion Filter for Multi-Sensor Systems with Finite-Step Correlated Noises,”Information Fusion, Vol. 46, pp. 128-140, 2019 22. X. L.Feng and C. L. Wen, “Park Ju H. Sequential Fusion H∞ Filtering for Multi-Rate Multi-Sensor Time-Varying Systems - A Krein Space Approach,” IET Control Theory and Applications, Vol. 11, No. 3, pp. 369-381, 2017 |