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Separation Risk Evaluation Considering Positioning Uncertainties from the Automatic Dependent Surveillance-Broadcast (ADS-B) System

Published online by Cambridge University Press:  02 May 2019

Peng Zhao
Affiliation:
(Arizona State University, U.S.)
Yongming Liu*
Affiliation:
(Arizona State University, U.S.)

Abstract

A probabilistic methodology for separation loss probability assessments is proposed in this paper. The key focus is on the effect of uncertainties from multiple Automatic Dependent Surveillance-Broadcast (ADS-B) systems on the separation loss probability assessment. First, a brief review of the ADS-B system and its associated uncertainty quantification metrics is discussed. It is found that most existing studies focus on the individual ADS-B uncertainty quantification for a single aircraft, which is not sufficient for separation loss probability assessment when two or more aircraft are involved. Next, a probabilistic positioning model with multiple aircraft is proposed and various types of uncertainties are included in the proposed model. Numerical simulations show that a navigation satellite fault can significantly affect separation error when individual aircraft see different satellite sets. Following this, several demonstration examples are illustrated to show the bounds for separation loss probability estimation. Finally, several conclusions and suggestions are discussed based on this study. One major finding is that the separation risk significantly increases when two nearby aircraft use different satellite sets to navigate. Real-time assessment of this risk should be performed.

Type
Research Article
Copyright
Copyright © The Royal Institute of Navigation 2019 

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References

REFERENCES

Ali, B.S., Ochieng, W., Majumdar, A., Schuster, W. and Chiew, T.K. (2014). ADS-B system failure modes and models. The Journal of Navigation, 67(6), 9951017.Google Scholar
Ali, B. S., Schuster, W., Ochieng, W. and Majumdar, A. (2016). Analysis of anomalies in ADS-B and its GPS data. GPS Solutions, 20(3), 429438.Google Scholar
Blanch, J., Walter, T., Enge, P., Lee, Y., Pervan, B., Rippl, M. and Spletter, A. (2012). Advanced RAIM user algorithm description: integrity support message processing, fault detection, exclusion, and protection level calculation. In Proceedings of the 25th International Technical Meeting of The Satellite Division of the Institute of Navigation (ION GNSS 2012), 2828–2849. Nashville, TN, USA.Google Scholar
Darr, S., Ricks, W. and Lemos, K.A. (2008). Safer systems: A NextGen aviation safety strategic goal. Digital Avionics Systems Conference, 2008 IEEE/AIAA 27th Digital Avionics Systems Conference, St. Paul, MN, USA.Google Scholar
Everdij, M.H., Blom, H.A. and Bakker, B.G. (2007). Modelling lateral spacing and separation for airborne separation assurance using Petri nets. Simulation, 83(5), 401414.Google Scholar
FAA. (2010). Automatic Dependent Surveillance—Broadcast (ADS–B) Out Performance Requirements to Support Air Traffic Control (ATC) Service. Final Rule, 14 CFR Part 91, Federal Register 75 (103)Google Scholar
Gazit, R.Y. and Powell, J.D. (1996). The effect of GPS-based surveillance on aircraft separation standards. Position Location and Navigation Symposium, 1996., IEEE 1996 (pp. 360–367). Atlanta, GA, USA.10.1109/PLANS.1996.509100Google Scholar
Herencia-Zapana, H., Jeannin, J.B. and Munoz, C.A. (2010). Formal verification of safety buffers for sate-based conflict detection and resolution. 27th International Congress of the Aeronautical Sciences (ICAS 2010); 1924 Sep. 2010. Nice; FranceGoogle Scholar
ICAO. (2016). Doc 4444 - Procedures for air navigation Services - Air Traffic Management, sixteenth Edition.Google Scholar
Joerger, M., Chan, F.C. and Pervan, B. (2014). Solution Separation Versus Residual-Based RAIM. Navigation: Journal of The Institute of Navigation, 61(4), 273291.Google Scholar
Jones, S.R. (2009). ADS-B surveillance separation error sensitivity analysis. The MITRE Corporation.Google Scholar
Kelly, W.E. (1999). Conflict detection and alerting for separation assurance systems. Digital Avionics Systems Conference, Proceedings. 18th (Vol. 2, pp. 6-D). IEEE. St Louis, MO, USA10.1109/DASC.1999.821978Google Scholar
McCallie, D., Butts, J. and Mills, R. (2011). Security analysis of the ADS-B implementation in the next generation air transportation system. International Journal of Critical Infrastructure Protection, 4(2), 7887.Google Scholar
Parkinson, B.W. and Axelrad, P. (1988). Autonomous GPS integrity monitoring using the pseudorange residual. Navigation, 35(2), 255274.10.1002/j.2161-4296.1988.tb00955.xGoogle Scholar
Pervan, B.S., Pullen, S.P. and Christie, J.R. (1998). A multiple hypothesis approach to satellite navigation integrity. Navigation, 45(1), 6171.Google Scholar
Planning, J. (2007). Concept of operations for the next generation air transportation system. version 2.0. Technical report, Joint Planning and Development Office.Google Scholar
Powell, J.D., Jennings, C. and Holforty, W. (2005). Use of ADS-B and perspective displays to enhance airport capacity. 24th Digital Avionics Systems Conference, Washington, DC, 2005, 4.D.4-4.1. doi: 10.1109/DASC.2005.1563365Google Scholar
Purton, L., Abbass, H. and Alam, S. (2010). Identification of ADS-B system vulnerabilities and threats. Australian Transport Research Forum, Canberra, 116.Google Scholar
RTCA (2006). SC-186. Minimum Operational Performance Standards for 1090 MHz Extended Squitter: Automatic Dependent Surveillance-Broadcast (ADS-B) and Traffic Information Services-Broadcast (TIS-B). RTCA.Google Scholar
RTCA. (2009). DO260B Minimum Operational Performance Standards for 1090 MHz Extended Squitter Automatic Dependent Surveillance – Broadcast (ADS-B) and Traffic Information Services – Broadcast (TIS-B).Google Scholar
Shepherd, R., Cassell, R., Thapa, R., Lee, D., Shepherd, R., Cassell, R., Thapa, R. and Lee, D. (1997). A reduced aircraft separation risk assessment model. In Guidance, Navigation, and Control Conference, 3735. New Orleans, LA, USA10.2514/6.1997-3735Google Scholar
Speidel, J., Tossaint, M., Wallner, S. and Angclavila-Rodngucz, J. (2013). Integrity for aviation: Comparing future concepts. Inside GNSS, 8(4), 5464.Google Scholar
Strohmeier, M., Schafer, M., Lenders, V. and Martinovic, I. (2014). Realities and challenges of NEXTGEN air traffic management: the case of ADS-B. IEEE Communications Magazine, 52(5), 111118.Google Scholar
Swenson, H., Barhydt, R. and Landis, M. (2006). Next generation air transportation system (NGATS) air traffic management (ATM)-airspace project. Technical report, National Aeronautics and Space Administration.Google Scholar
Tetewsky, A.K. and Soltz, A. (1998). Columns-Innovation: GPS MATLAB Toolbox Review. GPS World, 9(10), 5057.Google Scholar
US DoD. (2001). Global positioning system standard positioning service performance standard. Assistant Secretary Of Defense for Command, Control, Communications, and Intelligence.Google Scholar