Journal of the Korean Society for Aviation and Aeronautics (한국항공운항학회지)

The Korean Society for Aviation and Aeronautics (한국항공운항학회)
권호 표지
DOI QR코드

DOI QR Code

Integration Algorithm of GPS/SDINS/ST for a Space Navigation

우주항법을 위한 GPS/SDINS/ST 결합 알고리듬

  • 이창용 (부산대학교 일반대학원 항공우주공학과) ;
  • 조겸래 (부산대학교 항공우주공학과) ;
  • 이대우 (부산대학교 항공우주공학과) ;
  • 조윤철 (국방과학연구소 항법시스템개발부)
  • Received : 2016.05.08
  • Accepted : 2016.06.27
  • Published : 2016.06.30
Download PDF
⟨ Previous Next ⟩

Abstract

A GPS/SDINS/ST(Star Tracker) integrated sensor algorithm is more robust than the GPS/SDINS and the ST/SDINS systems on exploration of other planets. Most of the advanced studies shown that GPS/SDINS/ST integrated sensor with centralized Kalman filter was more accurate than those 2 integrated systems. The system, however, consist of a single filter, it is vulnerable to defects on failed data. To improve the problem, we work out a study using federated Kalman filter(No-Reset mode) and centralized Kalman filter with adaptive measurement fusion which known as robustness on fault. The simulation results show that the debasing influences are reduced and the computation is enable at least 100Hz. Further researches that the initial calibration in accordance with observability and applying the exploration trajectory are needed.

Keywords

References

  1. Toru Tanabe, Masatoshi Harigae, " Experimental Validation of GPS-INS-Star Hybrid Navigation System for Space Autonomy", Acta Austronautica Journal, Vol. 21, No. 5, 1990, pp.295-308. https://doi.org/10.1016/0094-5765(90)90090-8
  2. Alison Brown, Ben Mathews, Dien Nguyen, "Integrated GPS/INS/Star Tracker Space Navigation System Using a Software Defined Radio", SDR Forum, November. 2006.
  3. LN-120G Stellar-Inertial Navigation System, Northrop Grumman Corporation Navigation Systems
  4. Stephen Steffes, Malak Samaan, Michael Conradt, Stephan Theil, "Reconfigurable Hardware-in-the-Loop Test Bench for the SHEFEX2 Hybrid navigation System Experiment", AIAA Modeling and Simulation Technologies Conference, August 2011.
  5. A. Edelmayer, M. Miranda, "Federated Filtering Revisited: New Directions to Distributed Systems Estimation and Filtering - a Case Study", ACTA Technica Jaurinensis, Vol. 4, No. 3, 2011, pp. 365-391.
  6. Y. Gao, E. J. Krakiwsky, M. A. Abousalem, J. F. McLellan, "Comparison and Analysis of Centralized, Decentralized, and Federated Filters", Journal of The Institute of Navigation, Vol. 40, No. 1, Spring 1993, pp. 69-86. https://doi.org/10.1002/j.2161-4296.1993.tb02295.x
  7. Tae-Gyoo Lee, "Centralized Kalman Filter with Adaptive Measurement Fusion: its Application to a GPS/SDINS Integration System with an Additional Sensor", IJCAS, Vol. 1, No. 4, December 2003, pp. 444-452
  8. H. Bian, Z. Jin, W. Tian, "IAE-adaptive Kalman Filter for INS/GPS Integrated Navigation System", Journal of Systems Engineering and Electronics, Vol. 17, No. 3, 2006, pp. 502-508 https://doi.org/10.1016/S1004-4132(06)60086-8
  9. Hofmann-Wellenhof, Lichtenegger, Wasle, "GNSS", SpringerWienNewYork, 2006.
  10. Geoffrey Blewit, "Basics of the GPS Technique: Observation Equations", University of Newcastle, 1997.
  11. Paul D. Groves, "Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems", 2007.
  12. Eun-Hwan Shin, "Accuracy Improvement of Low Cost INS/GPS for Land Applications", University of Calgary, December 2001.
  13. Brunner F K. Gu M, "An Improved Model for the Dual Frequency Ionospheric Correction of GPS Observations", Manuscripta Geodaetica, Vol. 16, pp. 205-214