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Fault Exclusion in Multi-Constellation Global Navigation Satellite Systems

  • Yawei Zhai (a1), Mathieu Joerger (a2) and Boris Pervan (a1)

Abstract

This paper comprehensively investigates the fault exclusion problem in multi-constellation Global Navigation Satellite Systems (GNSS). In future GNSS, the heightened likelihood of fault detection events will cause more interruptions in the continuity of the navigation operation. The main contribution of this paper is to establish the theoretical basis to quantify the contributions of fault events on continuity risk, therefore allowing us to assess the desired exclusion function performance based on specific continuity requirements. Accordingly, a new real-time exclusion algorithm is developed, for which the upper bounds on integrity risks are rigorously derived. Using the new method, performance is comprehensively investigated for two important civil aircraft navigation operations using various numbers of constellations. We show that high service availability can be achieved for both operations.

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Blanch, J., Walter, T. and Enge, P. (2010). RAIM with Optimal Integrity and Continuity Allocations under Multiple Failures. IEEE Transactions on Aerospace and Electronic Systems, 46, 12351247.
Blanch, J., Walter, T., Enge, Per., Lee, Y., Pervan, B., Rippl, M., Spletter, A. and Kropp, V. (2015). Baseline Advanced RAIM User Algorithm and Possible Improvements. IEEE Transactions on Aerospace and Electronic Systems, 51, 713732.
Blanch, J., Walter, T. and Enge, P. (2016). A Simple Satellite Exclusion Algorithm for Advanced RAIM. Proceedings of the 2016 International Technical Meeting of The Institute of Navigation, Monterey, California, 239–244.
Cassel, R. (2017). Real-Time ARAIM Using GPS, GLONASS, and Galileo. M.S. Thesis, Dept. of Mechanical, Materials, and Aerospace Engineering, Illinois Institute of Technology, Chicago, IL.
EU-U.S. Cooperation on Satellite Navigation, Working Group C. (2016). ARAIM Technical Subgroup Milestone 3 Report. http://www.gps.gov/policy/cooperation/europe/2016/working-group-c/ARAIM-milestone-3-report.pdf
FAA. (2012). System Specification for the Wide Area Augmentation System. FAA-E-2892d.
Gibbons, G. (2012). Munich Summit Charts Progress of GPS, GLONASS, Galileo, Beidou GNSSes. Inside GNSS, March 20, 2012. http://www.insidegnss.com/node/2981
Heng, L., Gao, G. X., Walter, T. and Enge, P. (2012). Automated Verification of Potential GPS Signal-In-Space Anomalies Using Ground Observation Data. Proceedings of IEEE/ION PLANS 2012, Myrtle Beach, South Carolina, p1111–1118.
ICAO. (2009). Annex 10, Aeronautical Telecommunications, Volume 1 (Radio Navigation Aids), Amendment 84.
Joerger, M., Stevanovic, S., Chan, F-C., Langel, S. and Pervan, B. (2013). Integrity Risk and Continuity Risk for Fault Detection and Exclusion Using Solution Separation ARAIM. Proceedings of the 26th International Technical Meeting of The Satellite Division of the Institute of Navigation, Nashville, TN, 2702–2722.
Joerger, M., Chan, F.-C. and Pervan, B. (2014). Solution Separation Versus Residual-Based RAIM. NAVIGATION, 61(4), 273291.
Joerger, M. and Pervan, B. (2016). Fault Detection and Exclusion Using Solution Separation and Chi-Squared RAIM. IEEE Transactions on Aerospace and Electronic Systems, 52, 726742.
Lee, Y. C. (1986). Analysis of Range and Position Comparison Methods as a Means to Provide GPS Integrity in the User Receiver. Proceedings of the 42nd Annual Meeting of The Institute of Navigation, Seattle, WA, 1–4.
Lee, Y. and McLaughlin, M. (2007). Feasibility Analysis of RAIM to Provide LPV-200 Approaches with Future GPS. Proceedings of the 20th International Technical Meeting of the Satellite Division of The Institute of Navigation, Fort Worth, TX, 2898–2910.
Lee, Y. and Bian, B. (2017). Advanced RAIM Performance Sensitivity to Deviation of ISM Parameter Values. Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017), Portland, OR, 2338–2358.
Milner, C., Bang, E., Macabiau, C. and Estival, P. (2017). Methods of Integrity Risk Computation for ARAIM FDE. Proceedings of the 30th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS+ 2017), Portland, OR, 2371–2387.
Parkinson, B.W. and Axelrad, P. (1988). Autonomous GPS Integrity Monitoring Using the Pseudorange Residual. NAVIGATION, 35(2), 255274.
Pervan, B., (1996). Navigation integrity for aircraft precision landing using the Global Positioning System. Ph.D. Dissertation, Dept. of Aeronautics and Astronautics, Stanford Univ., Stanford, CA.
RTCA Special Committee 159, (1991). Minimum Operational Performance Standards for Airborne Supplemental Navigation Equipment Using Global Positioning System (GPS). RTCA/DO-208.
US DOD. (2008). Global Positioning System Standard Positioning Service Performance Standard. Assistant Secretary of Defense for Command, Control, Communications and Intelligence. http://www.gps.gov/technical/ps/2008-SPS-performance-standard.pdf
Walter, T., Blanch, J., Joerger, M. and Pervan, B. (2016). Determination of Fault Probabilities for ARAIM. Proceedings of IEEE/ION PLANS 2016, Savannah, GA, 451–461.
Zhai, Y., Joerger, M. and Pervan, B. (2015). Continuity and Availability in Dual-Frequency Multi-Constellation ARAIM. Proceedings of the 28th International Technical Meeting of The Satellite Division of the Institute of Navigation, Tampa, Florida, 664–674.
Zhai, Y., Joerger, M. and Pervan, B. (2016). H-ARAIM Exclusion: Requirements and Performance. Proceedings of the 29th International Technical Meeting of The Satellite Division of the Institute of Navigation, Portland, Oregon, 1713–1725.
Zhai, Y., Joerger, M. and Pervan, B. (2017). Bounding Continuity Risk in H-ARAIM FDE. Proceedings of the ION 2017 Pacific PNT Meeting, Honolulu, Hawaii, 20–35.

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