MEMS-based SINS/GNSS tightly-coupled navigation aided by time-differenced carrier-phase measurements

被引:0
作者
Dong Y. [1 ]
Wang D. [2 ]
Wu J. [2 ]
机构
[1] State Key Laboratory of Astronautic Dynamics, Xi'an Satellite Control Center, Xi'an
[2] College of Aerospace Science and Engineering, National University of Defense Technology, Changsha
来源
Zhongguo Guanxing Jishu Xuebao/Journal of Chinese Inertial Technology | 2021年 / 29卷 / 04期
关键词
Carrier phase; IMU; Integrated navigation; Kalman filter; Time-differencing;
D O I
10.13695/j.cnki.12-1222/o3.2021.04.005
中图分类号
学科分类号
摘要
In order to improve the real-time navigation performance of standalone Micro-Electro-Mechanical-System (MEMS) based strapdown inertial navigation system (SINS)/global navigation satellite system (GNSS) integration, a modified GNSS/MEMS-SINS tight integration approach based on time-differenced carrier phase (TDCP) aiding is proposed, which directly uses high-precision carrier phase time differential observation information to improve the online compensation accuracy of micro-inertial navigation errors. The effects of two TDCP aiding strategies on navigation accuracy are presented and compared, and the tightly-coupled system model is established with a robust sequential Kalman filter to resist outlying GNSS measurements. The field tests indicate that, compared with the traditional tightly-coupling method, the proposed algorithm can effectively improve the accuracy of position, velocity and attitude by about 29%, 21% and 42%. Moreover, in cases of relatively long complete GNSS outages (e.g., 60 s), the proposed algorithm can significantly improve the sliding position, speed and attitude accuracy by about 46%, 40% and 51%. © 2021, Editorial Department of Journal of Chinese Inertial Technology. All right reserved.
引用
收藏
页码:451 / 458
页数:7
相关论文
共 14 条
[1]  
Falco G, Pini M, Marucco G., Loose and tight GNSS/INS integrations: comparison of performance assessed in real urban scenarios, Sensors, 17, 2, (2017)
[2]  
Han H, Wang J, Wang J, Et al., Reliable partial ambiguity resolution for single-frequency GPS/BDS and INS integration, GPS Solutions, 21, 1, pp. 251-264, (2017)
[3]  
Han H, Wang J., Robust GPS/BDS/INS tightly coupled integration with atmospheric constraints for long-range kinematic positioning, GPS Solutions, 21, 3, pp. 1285-1299, (2017)
[4]  
Li T, Zhang H, Niu X, Et al., Tightly-coupled integration of multi-GNSS single-frequency RTK and MEMS-IMU for enhanced positioning performance, Sensors, 17, 11, (2017)
[5]  
Gao Z, Ge M, Shen W, Et al., Evaluation on the impact of IMU grades on BDS + GPS PPP/INS tightly coupled integration, Advances in Space Research, COSPAR, 60, 6, pp. 1283-1299, (2017)
[6]  
Li Z, Gao J, Wang J, Et al., PPP/INS tightly coupled navigation using adaptive federated filter, GPS Solutions, 21, 1, pp. 137-148, (2017)
[7]  
Liu S, Sun F, Zhang L, Et al., Tight integration of ambiguity-fixed PPP and INS: model description and initial results, GPS Solutions, 20, 1, pp. 39-49, (2016)
[8]  
Freda P, Angrisano A, Gaglione S, Et al., Time-differenced carrier phases technique for precise GNSS velocity estimation, GPS Solutions, 19, 2, pp. 335-341, (2015)
[9]  
Li Z, Wang D, Dong Y, Et al., An enhanced tightly-coupled integrated navigation approach using phase-derived position increment (PDPI) measurement, Optik-International Journal for Light and Electron Optics, 156, 1-2, pp. 193-213, (2018)
[10]  
Choi M, Kong S, Sung S, Et al., In-Motion Alignment Algorithm of the Low-Grade IMU Using Inexpensive Multi Sensor Measurements, Proceedings of the 27th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS+ 2014), (2014)