TY - GEN
T1 - Unmanned aircraft system sense and avoid integrity and continuity risk for non-cooperatve intruders
AU - Jamoom, Michael B.
AU - Joerger, Mathieu
AU - Pervan, Boris
N1 - Publisher Copyright:
© 2015, American Institute of Aeronautics and Astronautics Inc. All rights received.
PY - 2015
Y1 - 2015
N2 - This paper describes new methods to quantify safety of sense and avoid (SAA) functions for Unmanned Aircraft Systems (UAS) by evaluating integrity and continuity risks. These methods can set sensor requirements. The closest point of approach (CPA) distance and time to CPA, tau, are used to measure the hazards associated with the intruder aircraft. This paper presents a method to determine hazard state estimates and estimate error. These variances are used to establish (1) the integrity risk of the SAA system not detecting imminent loss of self-separation and (2) the probability of false alert, the continuity risk. A preliminary analysis assumes a constant relative velocity model with normal, independent and stationary measurement errors. A sensitivity analysis evaluates the impact on integrity and continuity of sensor noise, range and sample interval. This research can set potential SAA sensor requirements for UAS integration into the National Airspace System.
AB - This paper describes new methods to quantify safety of sense and avoid (SAA) functions for Unmanned Aircraft Systems (UAS) by evaluating integrity and continuity risks. These methods can set sensor requirements. The closest point of approach (CPA) distance and time to CPA, tau, are used to measure the hazards associated with the intruder aircraft. This paper presents a method to determine hazard state estimates and estimate error. These variances are used to establish (1) the integrity risk of the SAA system not detecting imminent loss of self-separation and (2) the probability of false alert, the continuity risk. A preliminary analysis assumes a constant relative velocity model with normal, independent and stationary measurement errors. A sensitivity analysis evaluates the impact on integrity and continuity of sensor noise, range and sample interval. This research can set potential SAA sensor requirements for UAS integration into the National Airspace System.
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U2 - 10.2514/6.2015-0484
DO - 10.2514/6.2015-0484
M3 - Conference contribution
AN - SCOPUS:85088358111
T3 - AIAA Infotech at Aerospace
BT - AIAA Infotech at Aerospace
PB - American Institute of Aeronautics and Astronautics Inc.
T2 - AIAA Infotech @ Aerospace 2015
Y2 - 5 January 2015 through 9 January 2015
ER -