A Novel Model for High Dynamic GPS Signal Tracking

Abstract

Abstract:

A novel tracking model was proposed for high dynamic condition under which the traditional GPS signal tracking method has a high probability of losing lock as well as a low accuracy. The output from a large number of correlators with wide ranges of uncertainty in code phase and carrier phase were used. An optimized iterated extended Kalman filter algorithm based on the Levenberg-Marquardt method was also implemented to process the output from the correlators, despite large acquisition errors. The simulation results show that the new model performs well in tracking a high dynamic GPS signal with an acceleration of 150 g.

Key words:global positioning system (GPS),highdynamiccondition tracking,iterated extended Kalman filter (IEKF),Levenberg-Marquardt method

CLC Number:

TN 976.1

ZHAO Wenjun,MAO Xuchu. A Novel Model for High Dynamic GPS Signal Tracking[J]. Journal of Shanghai Jiaotong University, 2014, 48(03): 323-327.

References

［1］Kaplan E D. Understanding GPS principles and applications［M］. 2nd ed. Boston: Artech House, Inc, 2006: 219232.

［2］Fang J C, Gong X L. Predictive iterated Kalman filter for INS/GPS integration and its application to SAR motion compensation［J］. IEEE Transactions on Instrumentation and Measurement, 2010, 59(4): 909915.

［3］Bell B M, Cathey F W. The iterated Kalman filter update as a GaussNewton method［J］. IEEE Transactions on Automatic Control, 1993, 38(2): 294297.

［4］Chiang K Q Z, Psiaki M L. GNSS signal tracking using a bank of correlators［C］∥Proceedings of the 23rd International Technical Meeting of The Satellite Division of the Institute of Navigation. Portland OR: The Institute of Navigation, 2010: 32583267.

［5］Psiaki M L, Jung H. Extended Kalman filter methods for tracking weak GPS signals［C］∥Proceedings of the 15th International Technical Meeting of the Satellite Division of The Institute of Navigation. Portland OR: The Institute of Navigation, 2002: 25392553.

［6］Im S H, Song J H, Jee G I, et al. Comparison of GPS tracking loop performance in high dynamic condition with nonlinear filtering techniques［C］∥Proceedings of the 21st International Technical Meeting of the Satellite Division of The Institute of Navigation. Savannah GA: The Institute of Navigation, 2008: 23512360.

［7］Spinello D, Stilwell D J. Nonlinear estimation with statedependent Gaussian observation noise［J］. IEEE Transactions on Automatic Control, 2010, 55(6): 13581366.

［8］Zhan R, Wan J. Iterated unscented Kalman filter for passive target tracking［J］. IEEE Transactions on Aerospace and Electronic Systems, 2007, 43(3): 11551163.

［9］Barrios C, Motai Y. Improving estimation of vehicle's trajectory using the latest global positioning system with Kalman filtering［J］. IEEE Transactions on Instrumentation and Measurement, 2011, 60(12): 37473755.

［10］杨宏, 李亚安, 李国辉. 一种改进扩展卡尔曼滤波新方法［J］. 计算机工程与应用, 2010, 46(19): 1820.

YANG Hong, LI Yaan, LI Guohui. New method of improved extended Kalman filter［J］. Computer Engineering and Applications, 2010, 46(19): 1820.

［11］Won J H, Pany T, Eissfeller B. Iterative maximum likelihood estimators for highdynamic GNSS signal tracking［J］. IEEE Transactions on Aerospace and Electronic Systems, 2012, 48(4): 28752893.

[1]	SU Hong1 (苏红), WU Bozhao2 (吴博钊), MAO Xuchu1∗ (茅旭初).Non-Line-of-Sight Multipath Detection Method for BDS/GPS Fusion System Based on Deep Learning[J]. J Shanghai Jiaotong Univ Sci, 2022, 27(6): 844-854.
[2]	YE Yingwei (叶颖微), SUN Jian* (孙健), LUO Jing (罗京) .Analyzing Spatio-Temporal Distribution Pattern and Correlation for Taxi and Metro Ridership in Shanghai[J]. Journal of Shanghai Jiao Tong University (Science), 2019, 24(2): 137-147.
[3]	ZHOU Jingmei *(周经美), ZHAO Xiangmo (赵祥模), CHENG Xin (程鑫), XU Zhigang (徐志刚), ZHAO Huaixin (赵怀鑫).Vehicle Ego-Localization Based on Streetscape Image Database Under Blind Area of Global Positioning System[J]. Journal of Shanghai Jiao Tong University (Science), 2019, 24(1): 122-129.
[4]	GONG Caihe,MAO Xuchu,LI Shaoyuan.A Fast Satellite Selection Algorithm for BDS/GPS Dual Navigation System[J]. Journal of Shanghai Jiaotong University, 2017, 51(6): 641-646.
[5]	WANG Xiaolan1,2,MA Guanyi1,WAN Qingtao1,LI Jinghua1,FAN Jiangtao1,ZHANG Jie1,2.A Fast Totel Electron Content Derivation Based on GNSS Observation[J]. Journal of Shanghai Jiaotong University, 2017, 51(2): 214-.
[6]	ZHANG Tianqi,YAN Zhenhua,OU Xudong,QIAN Wenrui.Acquisition Algorithm Combining Parallel Code Phase with FractalReconstruction of TMBOC Modulation Signal[J]. Journal of Shanghai Jiaotong University, 2016, 50(05): 782-787.
[7]	YAN Lin,ZHAN Xingqun.Advantage Analysis and Verification of GPS/Beidou Integrated Satellite Navigation System[J]. Journal of Shanghai Jiaotong University, 2013, 47(08): 1169-1172.
[8]	CUI Xiao-Zhun, MI Hong, LI Yi, CHEN Zhong-Gui.A Delay Measurement Algorithm of C/A Signal Transmission Channel for GPS Satellite[J]. Journal of Shanghai Jiaotong University, 2012, 46(11): 1843-1847.
[9]	KUANG Hong-Bo, MAO Xu-Chu, WANG Yong-Kai.A Tracking Method for GPS Signal under High Dynamic Condition[J]. Journal of Shanghai Jiaotong University, 2012, 46(06): 854-858.
[10]	ZHOU Guangyu，MAO Xuchu，LIN Qingen，CAO Yi .A Tracking Method for Weak GPS Signals Using Dual Kalman Filters and Bayesian Estimation [J]. Journal of Shanghai Jiaotong University, 2010, 44(09): 1246-1250.
[11]	WU Jing, MAO Xu-chu.A Filter Algorithm for Improving the Calculation Speed of GPS Positioning Estimation[J]. Journal of Shanghai Jiaotong University, 2008, 42(10): 1758-1761.