Low-cost GNSS/INS integration for enhanced land vehicle performance

被引:31
作者
Chen, Chao [1 ,2 ]
Chang, Guobin [1 ,2 ]
机构
[1] China Univ Min & Technol, MNR, Key Lab Land Environm & Disaster Monitoring Minis, Xuzhou 221116, Jiangsu, Peoples R China
[2] China Univ Min & Technol, Sch Environm Sci & Spatial Informat, Xuzhou 221116, Jiangsu, Peoples R China
关键词
integrated navigation; GNSS; INS; TDCP; NHC; SYSTEM; NAVIGATION; MEMS;
D O I
10.1088/1361-6501/ab52cb
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
An enhanced integrated navigation algorithm was developed to fuse the time-differenced global navigation satellite system (GNSS) carrier phase and inertial navigation system (INS) measurements to enhance land vehicle performance. The proposed algorithm aims to enhance a system's reliability and availability for a low-cost single-frequency GNSS receiver and low-accuracy INS, thereby improving the system's performance in GNSS-challenged environments. A rigorous stochastic model for the time-differenced carrier phase (TDCP) measurement noise is constructed and colored noises of a special type are found. This approach avoids over- optimistic estimation and improves the transient accuracy of the estimates. Given that TDCP is a relative measurement, the position error of the TDCP-INS coupled system will not converge. To bound the position error drift of the TDCP-INS and suppress the INS position drift during GNSS outages, a non-holonomic constraint and odometer measurements are incorporated into the integrated system. Vehicular tests have been conducted in suburban and urban areas to evaluate the performance of the proposed TDCP-INS tightly coupled system. The result demonstrates the effectiveness of the proposed algorithm at reducing the position drift of the TDCP-INS and suppressing error accumulation during GNSS outages compared with the traditional TDCP-INS and SPP-INS tightly coupled navigation system.
引用
收藏
页数:11
相关论文
共 27 条
[1]   On kalman filter for linear system with colored measurement noise [J].
Chang, Guobin .
JOURNAL OF GEODESY, 2014, 88 (12) :1163-1170
[2]   Dual-frequency carrier smoothed code filtering with dynamical ionospheric delay modeling [J].
Chen, Chao ;
Chang, Guobin ;
Luo, Fei ;
Zhang, Shubi .
ADVANCES IN SPACE RESEARCH, 2019, 63 (02) :857-870
[3]   A novel fusion methodology to bridge GPS outages for land vehicle positioning [J].
Chen, Wei ;
Li, Xu ;
Song, Xiang ;
Li, Bin ;
Song, Xianghui ;
Xu, Qimin .
MEASUREMENT SCIENCE AND TECHNOLOGY, 2015, 26 (07)
[4]   Synthesis of cobalt-doped tubular carbon nitride from organic-inorganic hybrid precursor for photocatalytic hydrogen generation [J].
Du, Yingying ;
Zhao, Lei ;
Chen, Hui ;
Huang, Zhaohui ;
He, Xuan ;
Fang, Wei ;
Li, Weixin ;
Zeng, Xianghui ;
Zhang, Fuqing .
JOURNAL OF MATERIALS SCIENCE, 2020, 55 (05) :1973-1983
[5]   GPS/MEMS INS integrated system for navigation in urban areas [J].
Godha, S. ;
Cannon, M. E. .
GPS SOLUTIONS, 2007, 11 (03) :193-203
[6]   GNSS/Onboard Inertial Sensor Integration With the Aid of 3-D Building Map for Lane-Level Vehicle Self-Localization in Urban Canyon [J].
Gu, Yanlei ;
Hsu, Li-Ta ;
Kamijo, Shunsuke .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2016, 65 (06) :4274-4287
[7]   Robust GPS/BDS/INS tightly coupled integration with atmospheric constraints for long-range kinematic positioning [J].
Han, Houzeng ;
Wang, Jian .
GPS SOLUTIONS, 2017, 21 (03) :1285-1299
[8]   Reliable partial ambiguity resolution for single-frequency GPS/BDS and INS integration [J].
Han, Houzeng ;
Wang, Jian ;
Wang, Jinling ;
Moraleda, Alberto Hernandez .
GPS SOLUTIONS, 2017, 21 (01) :251-264
[9]   Performance Analysis on Carrier Phase-Based Tightly-Coupled GPS/BDS/INS Integration in GNSS Degraded and Denied Environments [J].
Han, Houzeng ;
Wang, Jian ;
Wang, Jinling ;
Tan, Xinglong .
SENSORS, 2015, 15 (04) :8685-8711
[10]   Integrated GPS/INS navigation system with dual-rate Kalman Filter [J].
Han, Songlai ;
Wang, Jinling .
GPS SOLUTIONS, 2012, 16 (03) :389-404