Evaluation of Dual-Frequency Multi-Constellation PPP/INS using QZSS Augmentation Data

Cheng Wei Wang, Shau Shiun Jan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

With the increasing demand for autonomous driving applications, accurate navigation solutions are required. Lane-level navigation needs to be developed to enable robust vehicle guidance. GNSS can provide a user with the precise absolute position, and the solution accuracy is independent of trajectory and time. Precise point positioning (PPP) is used widely because of its high positioning accuracy. In recent years, relatively fast convergence PPP has been realized with an SBAS augmentation signal. In this study, a multi-GNSS advanced orbit and clock augmentation (MADOCA) product was applied to enhance the navigation performance and shorten the PPP convergence time. The augmentation data provided correction messages for the satellite orbit and clock bias in the Radio Technical Commission for Maritime Services (RTCM) state-space representation (SSR) format. The performance of static PPP combining broadcast ephemeris with the MADOCA product was first evaluated between different types of the GNSS constellation, such as GPS, GLONASS, and QZSS. Ionosphere-free combination was also applied to eliminate the ionospheric ranging errors. Furthermore, the vehicle experiment was conducted in Taiwan in a suburban environment to assess the performance of kinematic MADOCA PPP. Along with the root mean square error (RMSE), the average satellite number was compared among different types of constellations as mentioned above. However, standalone MADOCA PPP might pose severe problems because of environmental factors. Lane-level navigation was still difficult to achieve even with augmentation data aiding. Thus, kinematic MADOCA PPP was integrated with tactical-grade IMU by using tightly coupled scheme, which made the solution robust. Accurate velocity and attitude could thus be estimated. The result revealed that an INS-integrated MADOCA PPP could improve the performance in 3D and that lane-level positioning was achieved in a suburban area. All the algorithms proposed in this paper were processed in post-mission, but the application of the real-time satellite orbit and clock correction products enabled the analysis to approach a navigation solution in the real world.

Original languageEnglish
Title of host publication35th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2022
PublisherInstitute of Navigation
Pages1505-1513
Number of pages9
ISBN (Electronic)9781713871361
Publication statusPublished - 2022
Event35th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2022 - Denver, United States
Duration: 2022 Sept 192022 Sept 23

Publication series

Name35th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2022
Volume2

Conference

Conference35th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2022
Country/TerritoryUnited States
CityDenver
Period22-09-1922-09-23

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Software
  • Electrical and Electronic Engineering
  • Communication
  • Computer Networks and Communications
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Evaluation of Dual-Frequency Multi-Constellation PPP/INS using QZSS Augmentation Data'. Together they form a unique fingerprint.

Cite this