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A closed-loop EKF and multi-failure diagnosis approach for cooperative GNSS positioning

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Abstract

Current cooperative positioning with global navigation satellite system (GNSS) for connected vehicle application mainly uses pseudorange measurements. However, the positioning accuracy offered cannot meet the requirements for lane-level positioning, collision avoidance and future automatic driving, which needs real-time positioning accuracy of better than 0.5 m. Furthermore, there is an apparent lack of research into the integrity issue for these new applications under emerging driverless vehicle applications. In order to overcome those problems, a new extended Kalman filter (EKF) and a multi-failure diagnosis algorithm are developed to process both GNSS pseudorange and carrier phase measurements. We first introduce a new closed-loop EKF with partial ambiguity resolution as feedback to address the low accuracy issue. Then a multi-failure diagnosis algorithm is proposed to improve integrity and reliability. The core of this new algorithm includes using Carrier phase-based Receiver Autonomous Integrity Monitoring method for failure detection, and the double extended w test detectors to identify failure. A cooperative positioning experiment was carried out to validate the proposed method. The results show that the proposed closed-loop EKF can provide highly accurate positioning, and the multi-failure diagnosis method is effective in detecting and identifying failures for both code and carrier phase measurements.

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References

  • Alam N, Dempster AG (2013) Cooperative positioning for vehicular networks: facts and future. IEEE Trans Intell Transp Syst 14(4):1708–1717

    Article  Google Scholar 

  • Basnayake C, Lachapelle G, Bancroft J (2011) Relative positioning for vehicle-to-vehicle communication enabled vehicle safety applications. In: Proceedings of the 18th ITS World Congress, Orlando, Florida, 1–16

  • Bauernfeind R, Dötterböck D, Gkougkas E, Eissfeller B (2013) Cooperative GNSS Signal Processing Algorithms for Intelligent Transport Systems. Proc. ION GNSS + 2013, Institute of Navigation, Nashville, TN, September 16–20, 645–655

  • Eugenio R, Mirko R (2013) GoGPS: open source software for enhancing the accuracy of low-cost receivers by single-frequency relative kinematic positioning. Meas Sci Technol 24(11):1–12

    Google Scholar 

  • Feng SJ, Ochieng W, Moore T (2009) Carrier phase-based integrity monitoring for high-accuracy positioning. GPS Solut 13(1):13–22

    Article  Google Scholar 

  • Hewitson S, Wang JL (2006) GPS receiver autonomous integrity monitoring (RAIM) for multiple outliers. Eur J Navig 4(4):41–48

    Google Scholar 

  • Hewitson S, Wang JL (2007) GNSS receiver autonomous integrity monitoring with a dynamic model. J Navig 60(2):247–263

    Article  Google Scholar 

  • Hewitson S, Wang JL (2010) Extended receiver autonomous integrity monitoring (eRAIM) for GNSS/INS integration. J Surv Eng 136(1):13–22

    Article  Google Scholar 

  • Hofmann WB, Lichtenegger H, Wasle E (2008) GNSS-global navigation satellite systems. Springer-Verlag Wien, New York

    Google Scholar 

  • Jokinen A, Feng SJ, Ochieng W (2012) Fixed ambiguity Precise Point Positioning (PPP) with FDERAIM. Position Location and Navigation Symposium (PLANS), 2012 IEEE/ION, 643–658

  • Knight NL, Wang J, Rizos C (2010a) Generalized measures of reliability for multiple outliers. J Geod 84:625–635

    Article  Google Scholar 

  • Knight NL, Almagbile A, Wang J, Ding W (2010b) Optimizing fault detection and exclusion in positioning, IEEE Conference of Ubiquitous Positioning Indoor Navigation and Location Based Service, Kirkkonummi, Finland, 1–10

  • Lin CW, Jan SS (2014) Algorithm and configuration availability tool for integrity monitoring test bed. Proc. ION GNSS + 2014, Institute of Navigation, San Diego, California, January 27–29, 223–233

  • Liu H, Xu L, Ye W (2013) Partial ambiguity resolution with integrity risk constraint for high-performance Global Navigation Satellite System navigation. In: Proceedings of the Institution of Mechanical Engineers, doi:10.1177/0954410013511427

  • Liu K, Lim HB, Frazzoli E, Ji H (2014) Improving positioning accuracy using GPS Pseudorange measurements for cooperative vehicular localization. IEEE Trans Veh Technol 63(6):2544–2556

    Article  Google Scholar 

  • Muller FP, Diaz EM, Kloiber B, Strang T (2014) Bayesian cooperative relative vehicle positioning using pseudorange differences. IEEE position, location and navigation symposium, Monterey, CA, 434–444

  • Sabatini R, Moore T, Hill C (2013) A novel GNSS integrity augmentation system for civil and military aircraft. Int J Mech Ind Sci Eng 7(12):1433–1449

    Google Scholar 

  • Schuster W, Bai J, Feng S, Ochieng W (2012) Integrity monitoring algorithms for airport surface movement. GPS Solut 16(1):65–75

    Article  Google Scholar 

  • Stephenson S, Meng X, Moore T (2012) Implementation of V2X with the integration of Network RTK: Challenges and solutions. Proc. ION GNSS 2012, Institute of Navigation, Nashville TN, 17–21 September, 1556–1567

  • Stephenson S, Meng X, Moore T (2014) (2014) A fairy tale approach to cooperative vehicle positioning. Proc. ION GNSS + 2014. Institute of Navigation, San Diego, California, pp 431–440

    Google Scholar 

  • Teunissen PJG, Verhagen S (2009) GNSS carrier phase ambiguity resolution: challenges and open problems. International association of geodesy symposia: observing our changing earth, Berlin,785–792

  • Verhagen S, Li B (2012) LAMBDA-Matlab implementation, version 3.0. Delft University of Technology and Curtin University

  • Walter T, Blanch J, Enge P (2014) Reduced subset analysis for multi-constellation ARAIM. Proc. ION ITM 2014, Institute of Navigation, San Diego, California, 89–98

  • Wang HN (2012) GPS navigation principles and applications. Alpha Science International Ltd, Oxford

    Google Scholar 

  • Wolfe JD, Speyer JL, Hwang S (2007) Estimation of relative satellite position using transformed differential carrier-phase GPS measurements. J Guid Control Dyn 30(5):1217–1227

    Article  Google Scholar 

  • Yun H, Kee C (2014) Multiple-hypothesis RAIM algorithm with an RRAIM concept. Aircr Eng Aerosp Technol 86(1):26–32

    Article  Google Scholar 

Download references

Acknowledgments

This research was supported by the Central Universities NUAA Fundamental Research (NS2015087). China Scholarship Council is gratefully acknowledged for supporting the first author’s visiting at The University of Nottingham. The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.

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Authors and Affiliations

  1. College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, People’s Republic of China

    Haiying Liu & Zhiming Chen

  2. Nottingham Geospatial Institute and Sino-UK Geospatial Engineering Centre, The University of Nottingham, Nottingham, NG7 2TU, UK

    Haiying Liu, Xiaolin Meng, Scott Stephenson & Pekka Peltola

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  1. Haiying Liu
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  2. Xiaolin Meng
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  3. Zhiming Chen
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  4. Scott Stephenson
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  5. Pekka Peltola
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Correspondence to Haiying Liu.

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Liu, H., Meng, X., Chen, Z. et al. A closed-loop EKF and multi-failure diagnosis approach for cooperative GNSS positioning. GPS Solut 20, 795–805 (2016). https://doi.org/10.1007/s10291-015-0489-6

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  • DOI: https://doi.org/10.1007/s10291-015-0489-6

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