Comparison on different tracking configurations in GNSS receivers

被引：0
|
作者：
Tang X. [1 ,3 ]
Chen X. [2 ]
Xiu J. [4 ]
Chen X. [2 ]
机构：
[1] School of Instrument Science and Engineering, Southeast University, Nanjing
[2] Shanghai Jiao Tong University, Shanghai
[3] Key Laboratory of Microinertial Instrument and Advanced Navigation Technology of Ministry of Education, Nanjing
[4] Ji'nan Institute of survey and Investigation, Jinan
来源：
| 2018年 / Editorial Department of Journal of Chinese Inertial Technology卷 / 26期
关键词：
Carrier-smoothing; GNSS receiver; Kalman-based tracking loop; Tracking loop;
D O I：
10.13695/j.cnki.12-1222/o3.2018.05.011
中图分类号：
TN911 [通信理论];
学科分类号：
081002 ;
摘要：
The filtering algorithm for baseband signal processing is comparativelyinvestigated based on the analysis of the traditional tracking loop, Carrier-Smoothing and Kalman-based tracking loop. Four different configurations are designed from the GNSS-end system level and are compared through the theoretical analysis and practical car experiments. The comparisonresult shows that, with respect to the conventional tracking strategies, the KF-based tracking loop employs the inherent relationship of all the parameters to be estimated. Meanwhile, the system error variance matrix and measurement error variance matrix are also employed to achieve the overall optimization of continuous parameter estimation. Specifically, with the same LST-PVT engine, the configuration with KF-based tracking loop can improve the position accuracy and velocity accuracy by approximately 70% and 80% respectively, compared with the traditional tracking loop. In addition, it is also verified that the usage of KF-based tracking loop can guarantee the stable information source for subsequent PVT, and RTK algorithms, etc. © 2018, Editorial Department of Journal of Chinese Inertial Technology. All right reserved.
引用
收藏
页码：623 / 628
页数：5
相关论文
共 12 条
  • [1] Thomas J.B., An analysis of digital phase-locked loops, (1989)
  • [2] Alban S., Akos D.M., Rock S.M., Performance analysis and architectures for INS-aided GPS tracking loopsProc, of the Institute of Navigation National Technical Meeting, (2003)
  • [3] Tang K.H., Wu C.F., Du L., Et al., Experimental study and design on high dynamic GNSS receiver using adaptive optimal bandwidth for carrier tracking loop, Journal of Chinese Inertial Technology, 22, 4, pp. 498-503, (2014)
  • [4] Stensby J., Stability of false lock states in a class of phase-lock loops, Proceedings of the Thirty-Fourth Southeastern Symposium on System Theory, pp. 133-137, (2002)
  • [5] Liu G., Guo M.F., Zhang R., Et al., Hardware-implemen-table vector tracking loop for GNSS/INS deep integration, Journal of Chinese Inertial Technology, 23, 2, pp. 189-195, (2015)
  • [6] Letizia Lo P., Monica V., Can you list all the properties of the carrier-smoothing filter, Inside GNSS, July/August, pp. 32-37, (2015)
  • [7] Tang X.H., Falco G., Falletti E., Et al., Complexity reduction of the Kalman filter-based tracking loops in GNSS receivers, GPS Solutions, 21, 2, pp. 685-699, (2017)
  • [8] Tang X.H., Falco G., Falletti E., Et al., Theoretical analysis and tuning criteria of the Kalman filter-based tracking loop, GPS Solutions, 19, 3, pp. 489-503, (2015)
  • [9] Fu J.L., Xu J.J., Liu H.G., Et al., Performance analysis of tracking loop Kalman filter algorithm, Journal of Chinese Inertial Technology, 25, 3, pp. 309-312, (2017)
  • [10] O'Driscoll C., Curran J.T., Codeless code tracking of BOC signals, Proceedings of the 29th International Technical Meeting of the Satellite Division of the Institute of Navigation, pp. 497-508, (2016)
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