Skip to main content
Log in

Odometer, low-cost inertial sensors, and four-GNSS data to enhance PPP and attitude determination

  • Original Article
  • Published:
GPS Solutions Aims and scope Submit manuscript

Abstract

To upgrade the positioning accuracy, re-initialization speed, and attitude determination performance of precise point positioning (PPP) in dynamic applications, we proposed a multi-sensor fusion system consisting of four global navigation satellite systems (GNSSs), namely GPS, BDS, Galileo, and GLONASS, several low-cost inertial sensors, and an odometer. The study shows that the performance of PPP in terms of continuity, reliability, stability, and re-initialization speed improves by such a multi-sensor fusion system. This manifests itself in a significantly increased accuracy. For position solutions, compared to un-aided PPP solutions, the improvements achieved using low-cost inertial navigation system (INS) are about 36.4, 38.7, and 31.3% in the north, east, and vertical components, respectively, and the improvement using odometer are about 1.58, 0.35, and 4.32% relative to the INS-aided PPP solutions. Moreover, using the odometer can provide more than 2.1, 1.4, and 50.6% attitude improvements for roll, pitch, and heading angles compared to the attitude solutions obtained from the INS-aided PPP system. Under GNSS outage conditions, the mean position improvements using the odometer are about 2.3, 1.8, and 8.7%, with maximum increases of 74.6, 74.7, and 28.3%, and the average attitude improvements are about 4.7, 5.4, and 3.3%, with maximum increases of 36.4, 31.7, and 28.9%, respectively. This means that the odometer can enhance the performance of PPP and PPP/INS integration in challenging dynamic conditions.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21

Similar content being viewed by others

References

  • Brown RG, Hwang PY (1992) Introduction to random signals and applied Kalman filtering. Wiley, London

    Google Scholar 

  • Chen K, Gao Y (2005) Real-time precise point positioning using single frequency data. In: Proceedings of ION GNSS 2005, Institute of Navigation, Long Beach, CA, USA, September 13–16, pp 1514–1523

  • Cox DB (1978) Integration of GPS with inertial navigation systems. Navigation 25(2):236–245

    Article  Google Scholar 

  • Gao Y, Shen X (2002) A new method for carrier phase based precise point positioning. Navigation 49(2):109–116

    Article  Google Scholar 

  • Gao Z, Zhang H, Ge M, Niu X, Shen W, Wickert J, Schuh H (2015) Tightly coupled integration of ionosphere-constrained precise point positioning and inertial navigation systems. Sensors 15(3):5783–5802

    Article  Google Scholar 

  • Gao Z, Ge M, Shen W, Zhang H, Niu X (2017) Ionospheric and receiver DCB-constrained multi-GNSS single-frequency PPP integrated with MEMS inertial measurements. J Geod 91(11):1351–1366. https://doi.org/10.1007/s00190-017-1029-7

    Article  Google Scholar 

  • Ge M, Gendt G, Rothacher MA, Shi C, Liu J (2008) Resolution of GPS carrier phase ambiguities in precise point positioning (PPP) with daily observations. J Geod 82(7):389–399

    Article  Google Scholar 

  • Gendt G, Dick G, Reigber CH, Tomassini M, Liu Y, Ramatschi M (2003) Demonstration of NRT GPS water vapor monitoring for numerical weather prediction in Germany. J Meteorol Soc Jpn 82(1B):360–370

    Google Scholar 

  • Kouba J (2009) A guide to using International GNSS Service (IGS) products. http://igscb.jpl.nasa.gov/igscb/resource/pubs/UsingIGSProductsVer21.pdf

  • Kouba J, Héroux P (2001) Precise point positioning using IGS orbit and clock products. GPS Solut 5(2):12–28

    Article  Google Scholar 

  • Li X, Ge M, Dai X, Ren X, Fritsche M, Wickert J, Schuh H (2015) Accuracy and reliability of multi-GNSS real-time precise positioning: GPS, GLONASS, BeiDou, and Galileo. J Geod 89(6):607–635

    Article  Google Scholar 

  • Lou Y, Zheng F, Gu S, Wang C, Guo H, Feng Y (2016) Multi-GNSS precise point positioning with raw single-frequency and dual-frequency measurement models. GPS Solut 20(4):849–862

    Article  Google Scholar 

  • Mohamed AH, Schwarz KP (1999) Adaptive Kalman filtering for INS/GPS. J Geod 73(4):193–203

    Article  Google Scholar 

  • Montenbruck O, Steigenberger P, Prange L, Deng Z, Zhao Q, Perosanz F, Schmid R (2017) The multi-GNSS experiment (MGEX) of the International GNSS Service (IGS)—achievements, prospects and challenges. Adv Space Res 59(7):1671–1697

    Article  Google Scholar 

  • Niu X, Goodall C, Nassar S, El-Sheimy N (2006) An efficient method for evaluating the performance of MEMS IMUs. In: 2006 IEEE/ION position, location, and navigation symposium, pp 766–771

  • Quan Y, Lau L, Roberts GW, Meng X (2016) Measurement signal quality assessment on all available and new signals of multi-GNSS (GPS, GLONASS, Galileo, BDS, and QZSS) with real data. J Navig 69(02):313–334

    Article  Google Scholar 

  • Rabbou MA, El-Rabbany A (2015) Tightly coupled integration of GPS precise point positioning and MEMS-based inertial systems. GPS Solut 19(4):601–609

    Article  Google Scholar 

  • Roesler G, Martell H (2009) Tightly coupled processing of precise point position (PPP) and INS data. In: Proceedings of ION GNSS 2009, Institute of Navigation, Savannah, GA, USA, September 22–25, pp1898–1905

  • Schaer S, Gurtner W, Feltens J (1998) IONEX: the ionosphere map exchange format version 1. In: Proceedings of the IGS AC workshop, vol 9, no 11, Darmstadt, Germany

  • Scherzinger BM (2000) Precise robust positioning with inertial/GPS RTK. In: Proceedings of ION GPS 2000, Institute of Navigation, Salt Lake, UT, USA, September 19–22, pp 155–162

  • Schönemann E, Becker M, Springer T (2011) A new approach for GNSS analysis in a multi-GNSS and multi-signal environment. J Geod Sci 1(3):204–214

    Google Scholar 

  • Shin EH (2005) Estimation techniques for low-cost inertial navigation. UCGE report, 20219

  • Sukkarieh S (2000) Low cost, high integrity, aided inertial navigation systems for autonomous land vehicles. Dissertation, The University of Sydney

  • Tang Y, Wu Y, Wu M, Wu W, Hu X, Shen L (2009) INS/GPS integration: Global observability analysis. IEEE Trans Veh Technol 58(3):1129–1142

    Article  Google Scholar 

  • Teunissen PJG, Khodabandeh A (2015) Review and principles of PPP–RTK methods. J Geod 89(3):217–240

    Article  Google Scholar 

  • Tu R, Ge M, Zhang H, Huang G (2013) The realization and convergence analysis of combined PPP based on raw observation. Adv Space Res 52(1):211–221

    Article  Google Scholar 

  • Vander Kuylen L, Nemry P, Boon F, Simsky A, Septentrio NV (2006) Comparison of attitude performance for multi-antenna receivers. Eur J Navig 4(2):1–9

    Google Scholar 

  • Witchayangkoon B (2000) Elements of GPS precise point positioning. Dissertation, Spatial Information Science and Engineering, University of Maine

  • Yang Y, Li J, Xu J, Tang J, Guo H, He H (2011) Contribution of the compass satellite navigation system to global PNT users. Chin Sci Bull 56(26):2813–2819

    Article  Google Scholar 

  • Zhang XH, Li XX (2012) Instantaneous re-initialization in real-time kinematic PPP with cycle slip fixing. GPS Solut 16(3):315–327

    Article  Google Scholar 

  • Zumberge JF, Heflin MB, Jefferson DC, Watkins MM, Webb FH (1997) Precise point positioning for the efficient and robust analysis of GPS data from large networks. J Geophys Res Solid Earth (1978–2012) 102(B3):5005–5017

    Article  Google Scholar 

Download references

Acknowledgements

Many thanks to GNSS Research Center, Wuhan University, China, for providing the land-borne data and the precise GNSS products. This work was supported partly by National 973 Project of China (Grant Nos. 2013CB733301 and 2013CB733305) and National Key Research and Development Program of China (Grant No. 2016YFB0501804).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Maorong Ge.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gao, Z., Ge, M., Li, Y. et al. Odometer, low-cost inertial sensors, and four-GNSS data to enhance PPP and attitude determination. GPS Solut 22, 57 (2018). https://doi.org/10.1007/s10291-018-0725-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10291-018-0725-y

Keywords

Navigation