Contingency Clarification Protocols for Reliable Counter-Drone Operation is a paper by Abdulhadi Shoufan and Ernesto Damiani.
Counter-drone technology is crucial in safeguarding airspace against unauthorized and malicious drones. These systems increasingly rely on unmanned traffic management services, such as remote identification and flight authorization enforcement, to detect and mitigate unauthorized activities by Unmanned Aerial Vehicles (UAVs). These services enable automated drone identification and verification of the drone’s compliance with regulations before any enforcement measures are taken.
While drone identification standards like ASTM F3411-22 for Drone Remote Identification (DRI) outline essential requirements for entities involved in UAV operations, DRI systems can encounter technical and non-technical failures related to various factors, including the drone itself, its operator, the identification system, other service providers, or communication between these entities. Furthermore, even licensed drone operators may inadvertently or unavoidably violate permitted flight parameters. In such cases, the counter-drone system should conduct additional checks and interact with relevant parties before classifying the drone as illegal and taking corrective action. This paper introduces a set of protocols designed to formalize interactions between the counter-drone system and relevant agents, addressing potential failures and violations. The objective is to enhance current DRI systems by mitigating the impact of erroneous drone identification and facilitating reliable decision-making. Simulation results of worst-case scenarios demonstrate that executing these clarification protocols only takes a few seconds, and any delay is noticeable only in situations where immediate action is essential to neutralize illegal drones.
Publication Date– 2023
Contingency Clarification Protocols for Reliable Counter-Drone Operation contains the following major sections:
- Related Work
- Requirements Specification
- Protocol Description
- Systems Simulation and Evaluation
This paper is available via Open Access. This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. For more information, see https://creativecommons.org/licenses/by-nc-nd/4.0/
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Authors- Abdulhadi Shoufan and Ernesto Damiani
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