Analysis of ADS-B Trajectories in the Republic of Korea with DAA Well Clear Metrics

Lee, Hyeonwoong; Park, Bae-Seon; Lee, Hak-Tae

doi:10.1109/dasc.2018.8569702

Cited by 5 publications

(1 citation statement)

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“…A possible approach consists of using high-fidelity sample-based simulations which are characterized by a significant computational burden and require a long time for the analysis. This approach typically includes optimization techniques [15] and takes advantage of the availability of statistical models of mid-air encounters, derived from large datasets of historical data based on ground radars and, more recently, on Automatic Dependent Surveillance-Broadcast (ADS-B) [16,17]. Sample-based techniques can be used to validate given sensing architectures and to estimate performance sensitivity to given parameters.…”

Section: Introductionmentioning

confidence: 99%

Analytical Framework for Sensing Requirements Definition in Non-Cooperative UAS Sense and Avoid

Fasano,

Opromolla

2023

Drones

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This paper provides an analytical framework to address the definition of sensing requirements in non-cooperative UAS sense and avoid. The generality of the approach makes it useful for the exploration of sensor design and selection trade-offs, for the definition of tailored and adaptive sensing strategies, and for the evaluation of the potential of given sensing architectures, also concerning their interface to airspace rules and traffic characteristics. The framework comprises a set of analytical relations covering the following technical aspects: field of view and surveillance rate requirements in azimuth and elevation; the link between sensing accuracy and closest point of approach estimates, expressed though approximated derivatives valid in near-collision conditions; the diverse (but interconnected) effects of sensing accuracy and detection range on the probabilities of missed and false conflict detections. A key idea consists of focusing on a specific target time to closest point of approach at obstacle declaration as the key driver for sensing system design and tuning, which allows accounting for the variability of conflict conditions within the aircraft field of regard. Numerical analyses complement the analytical developments to demonstrate their statistical consistency and to show quantitative examples of the variation of sensing performance as a function of the conflict geometry, as well as highlighting potential implications of the derived concepts. The developed framework can potentially be used to support holistic approaches and evaluations in different scenarios, including the very low-altitude urban airspace.

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Section: Introductionmentioning

confidence: 99%