UPF algorithm and its application in the GPS/INS integrated navigation

2009 International Conference on Wireless Communications and Signal Processing, WCSP 2009

Volumn , Issue , 2009, Pages

  Tian, Lei ^a   Rong, Jian ^a   Zhong, Xiaochun ^b   Li, Tao ^a  

^a UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b SOUTHWEST JIAOTONG UNIVERSITY   (China)

Author keywords

GPS INS integrated navigation; Observation model; Pseudo range; Unscented particle filter (UPF)

Indexed keywords

ESTIMATION ERRORS; GPS SATELLITES; GPS/INS; INHERENT ERRORS; INTEGRATED NAVIGATION; INTEGRATED NAVIGATION SYSTEMS; LINEARIZATION ERRORS; NAVIGATION ACCURACY; OBSERVATION MODEL; REAL VALUES; SIMULATION RESULT; SYSTEM STATE; UNSCENTED PARTICLE FILTERS;

GLOBAL POSITIONING SYSTEM; LAUNCHING; NAVIGATION; NONLINEAR FILTERING; SIGNAL PROCESSING;

NAVIGATION SYSTEMS;

EID: 77749315537     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WCSP.2009.5371394     Document Type: Conference Paper

References (15)

1. ZHOU Xing-ling, The Performance Comparison Between Loose Coupling and Tight Coupling of GPS/INS Integrated Navigation System. AVIONICS TECHNOLOGY, 2007, 38(4):1-6.
2. SUN De-bo, YANG Gong-liu, ZHANG Yu-tong, Sequential Estimation for SINS/GPS Integrated Navigation. Journal of Chinese Inertial Technology, 2005, 13(1):59-67.
3. Xu Hui-juan, Wu Mei-ping, Luo Bing, Analysis of Extended and Unscented Kalman Filtering for INS/GPS Integration. Aerospace Control, 2006, 24(6):7-16.
4. Simon J.Julier and Jeffrey K.Uhlmann, Unscented filtering and nonlinear estimation. Proceedings of the IEEE, 2004, 92(3):401-422.
5. Simon J.Julier, Jeffrey Uhlmann, and Hugh F.Durrant-Whyte, A New Method for the Nonlinear Transformation of Means and Covariances in Filters and Estimators. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2000, 45(3):477-482.
6. Haitao Zhang, Jian Rong, Xiaochun Zhong, Research of the INS/GPS Integrated Navigation System for High Speed Trains. The 9th International Conference for Young Computer Scientists 2008:1659-1663
7. XU Tian-lai, YOU Wen-hu, CUI Ping-yuan. Research on GPS/INS Integrated navigation System Based on Fuzzy Adaptive Kalman Filtering. Journal of Astronautics, 2005(5):571-575
8. Jian Rong, Haitao Zhang, Xiaochun Zhong, Ke Chen. Research and Application of a Kalman Smoother Based on INS/GPS Integrated Navigation. 2008 ISECS International Colloquium on Computing, Communication, Control, and Management.2008:672-676
9. BAO Qi-lian, ZHOU Yuan-yuan. Design of GPS/SINS pseudo-range (pseudo-range rate) integrated navigation system based on UKF. Journal of Chinese Inertial Technology, 2008, 16(1):78-81
10. YANG Jing, ZHANG Hong-yue, ZHU Shi-qin. GPS/SINS fault tolerant integrated navigation system based on pseudo-range and its' rate. Aerospace Control, 2006(3)17-25
11. A Doucet, S Godsil, and C Andrien. On Sequential Monte Carlo Sampling Methods for Bayesian Filtering. Statistics and Compution, 2000, 10(3):197-208
12. N J Gordon, D J Salmond, and A F M Smith. Novel Approach to Nonlinear/Non-Gaussian Bayesian State Estimation. IEEE Proceedings F, 1993, 140(2):107-113
13. WANG Zhi-gang, RUI Guo-sheng, HU Hao. Unscented Particle Filter Algorithm and Its Application to Target Tracking. Radar Science and Technology, 2005, 3(1):20-24
14. Xiang Wang, Hong Zhang. A UPF-UKF Framework For SLAM. 2007 IEEE International Conference on Robotics and Automation Roma, Italy, 10-14 April 2007:1664-1669
15. Mohammed M.Olama, Seddik M.Djouadi, Ioannis G.Papageorgiou. Position and Velocity Tracking in Mobile Networks Using Particle and Kalman Filtering With Comparison. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2008, 57(2):1001-1010