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Integrating GLONASS with GPS for Drone Orientation Tracking

  • Mahanth GowdaEmail author
  • Justin Manweiler
  • Ashutosh Dhekne
  • Romit Roy Choudhury
  • Justin D. Weisz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10340)

Abstract

In addition to position sensing, GPS receivers can be leveraged for orientation sensing too. We place multiple GPS receivers on drones and translate their relative positions into orientation. Such an orthogonal mode of orientation sensing provides failsafe under Inertial sensor failures – a primary cause of drone crashes today. This paper integrates GLONASS satellite measurements with GPS for enhancing the orientation accuracy.

Accurate estimate of orientation depends upon high precision relative positioning of the GPS receivers. While GPS carrier phases provide high precision ranging data, the phases are noisy and wrap after every wavelength which introduces ambiguity. Moreover, GPS signals experience poor SNR and loss of satellite locks under aggressive flights. This can severely limit both the accuracy and the amount of carrier phase data available. Fortunately, integrating the ubiquitously available Russian GLONASS satellites with GPS can double the amount of observations and substantially improve the robustness of orientation estimates. However, the fusion is non-trivial because of the operational difference between FDMA based GLONASS and CDMA based GPS. This paper proposes a temporal differencing scheme for fusion of GLONASS and GPS measurements, through a system called SafetyNet. Results from 11 sessions of 5–7 min flights report median orientation accuracies of \(2^\circ \) even under overcast weather conditions.

References

  1. 1.
  2. 2.
  3. 3.
  4. 4.
  5. 5.
  6. 6.
  7. 7.
    Blewitt, G.: Basics of the GPS technique: observation equations. In: Johnson. B. (ed.) Geodetic Applications of GPS, pp. 10–54. Nordic Geodetic Commission, Gothenburg (1997)Google Scholar
  8. 8.
    De Pasquale, G., Somà, A.: Reliability testing procedure for MEMS IMUs applied to vibrating environments. Sensors 10(1), 456–474 (2010)CrossRefGoogle Scholar
  9. 9.
    Diebel, J.: Representing attitude: Euler angles, unit quaternions, and rotation vectors. Matrix 58(15–16), 1–35 (2006)Google Scholar
  10. 10.
    Gowda, M., Manweiler, J., Dhekne, A., Choudhury, R.R., Weisz, J.D.: Tracking drone orientation with multiple GPS receivers. In: Mobicom. ACM, New York (2016)Google Scholar
  11. 11.
    Han, K.J., Gerard, L.: Determining Heading and Pitch Using a Single Difference GPS/GLONASS Approach. University of Calgary, Canada (1999)Google Scholar
  12. 12.
    Han, S., Dai, L., Rizos, C.: A new data processing strategy for combined GPS/GLONASS carrier phase-based positioning. In: Proceedings of the ION GPS 1999, pp. 1619–1627 (1999)Google Scholar
  13. 13.
    Harwin, S., Lucieer, A.: Assessing the accuracy of georeferenced point clouds produced via multi-view stereopsis from Unmanned Aerial Vehicle (UAV) imagery. Remote Sens. 4(6), 1573–1599 (2012)CrossRefGoogle Scholar
  14. 14.
    Hedgecock, W., et al.: Regtrack: a differential relative GPS tracking solution. In: Proceedings of the 11th Annual International Conference on Mobile Systems, Applications, and Services - MOBISYS 2013 (2013)Google Scholar
  15. 15.
    Hedgecock, W., Maroti, M., Ledeczi, A., Volgyesi, P., Banalagay, R.: Accurate real-time relative localization using single-frequency GPS. In: Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems - SENSYS 2014, pp. 206–220. ACM (2014)Google Scholar
  16. 16.
    Kaplan, E., Hegarty, C.: Understanding GPS: Principles and Applications. Artech House, Boston (2005)Google Scholar
  17. 17.
    Keong, J.: GPS/GLONASS attitude determination with a common clock using a single difference approach. In: ION GPS 1999 Conference, Nashville, pp. 14–17 (1999)Google Scholar
  18. 18.
    Lai, Y.-C., Jan, S.-S.: Attitude estimation based on fusion of gyroscopes and single antenna GPS for small UAVs under the influence of vibration. GPS Solut. 15(1), 67–77 (2011)CrossRefGoogle Scholar
  19. 19.
    Langley, R.B.: GLONASS: review and update. GPS World 8(7), 46–51 (1997)Google Scholar
  20. 20.
    Laurichesse, D., Mercier, F., Berthias, J.-P., Broca, P., Cerri, L.: Integer ambiguity resolution on undifferenced GPS phase measurements and its application to PPP and satellite precise orbit determination. Navigation 56(2), 135–149 (2009)CrossRefGoogle Scholar
  21. 21.
    Liu, X., Randall, R.: Blind source separation of internal combustion engine piston slap from other measured vibration signals. Mech. Syst. Signal Process. 19(6), 1196–1208 (2005)CrossRefGoogle Scholar
  22. 22.
    Malyavej, V., Torteeka, P., Wongkharn, S., Wiangtong, T.: Pose estimation of unmanned ground vehicle based on dead-reckoning/GPS sensor fusion by unscented Kalman filter. In: 6th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, ECTI-CON 2009, vol. 1, pp. 395–398. IEEE (2009)Google Scholar
  23. 23.
    Mekik, C., Arslanoglu, M.: Investigation on accuracies of real time kinematic GPS for GIS applications. Remote Sens. 1(1), 22–35 (2009)CrossRefGoogle Scholar
  24. 24.
    Misra, P., Enge, P.: Global Positioning System: Signals, Measurements and Performance, 2nd edn. Ganga-Jamuna Press, Lincoln (2006)Google Scholar
  25. 25.
    Parkinson, B.W., Enge, P.K.: Differential GPS. Glob. Position. Syst. Theor. Appl. 2, 3–50 (1996)Google Scholar
  26. 26.
    Suh, Y.S.: Attitude estimation by multiple-mode Kalman filters. IEEE Trans. Industr. Electron. 53(4), 1386–1389 (2006)CrossRefGoogle Scholar
  27. 27.
    Tsujii, T., Harigae, M., Inagaki, T., Kanai, T.: Flight tests of GPS/GLONASS precise positioning versus dual frequency KGPS profile. Earth, Planets Space 52(10), 825–829 (2000)CrossRefGoogle Scholar
  28. 28.
    Vallet, J., Panissod, F., Strecha, C., Tracol, M.: Photogrammetric performance of an ultra light weight swinglet UAV. In: UAV-g, no. EPFL-CONF-169252 (2011)Google Scholar
  29. 29.
    Wang, J.: An approach to GLONASS ambiguity resolution. J. Geodesy 74(5), 421–430 (2000)CrossRefzbMATHGoogle Scholar
  30. 30.
    Wang, J., Rizos, C., Stewart, M.P., Leick, A.: GPS and GLONASS integration: modeling and ambiguity resolution issues. GPS Solut. 5(1), 55–64 (2001)CrossRefGoogle Scholar
  31. 31.
    Wells, M.: Attenuating magnetic interference in a UAV system. Ph.D. thesis, Carleton University, Ottawa (2008)Google Scholar
  32. 32.
    Zhang, B., Teunissen, P.J., Odijk, D.: A novel un-differenced PPP-RTK concept. J. Navig. 64(S1), S180–S191 (2011)CrossRefGoogle Scholar
  33. 33.
    Zhang, Y., Chamseddine, A., Rabbath, C., Gordon, B., Su, C.-Y., Rakheja, S., Fulford, C., Apkarian, J., Gosselin, P.: Development of advanced FDD and FTC techniques with application to an unmanned quadrotor helicopter testbed. J. Franklin Inst. 350(9), 2396–2422 (2013)CrossRefzbMATHGoogle Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Mahanth Gowda
    • 1
    Email author
  • Justin Manweiler
    • 2
  • Ashutosh Dhekne
    • 1
  • Romit Roy Choudhury
    • 1
  • Justin D. Weisz
    • 2
  1. 1.University of Illinois at Urbana-ChampaignUrbanaUSA
  2. 2.IBM ResearchYorktown HeightsUSA

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