Collision Avoidance Capabilities in High-Density Airspace Using the Universal Access Transceiver ADS-B Messages

Author:

Karch Coulton1,Barrett Jonathan1,Ellingson Jaron2,Peterson Cameron K.1ORCID,Contarino V. Michael3ORCID

Affiliation:

1. Electrical and Computer Engineering Department, Brigham Young University, Provo, UT 84602, USA

2. Mechanical Engineering Department, Brigham Young University, Provo, UT 84602, USA

3. R Cubed Engineering, Chief Technology Officer, Palmetto, FL 34221, USA

Abstract

The safe integration of a large number of unmanned aircraft systems (UASs) into the National Airspace System (NAS) is essential for advanced air mobility. This requires reliable air-to-air transmission systems and robust collision avoidance algorithms. Automatic Dependent Surveillance-Broadcast (ADS-B) is a potential solution for a dependable air-to-air messaging system, but its reliability when stressed with hundreds to thousands of vehicles operating simultaneously is in question. This paper presents an ADS-B model and analyzes the capabilities of the Universal Access Transceiver (UAT), which operates at a frequency of 978 MHz. We use a probabilistic collision avoidance algorithm to examine the impact of varying parameters, including the number of vehicles and the transmission power of the UAT, on the overall safety of the vehicles. Additionally, we investigate the root causes of co-channel interference, proposing enhancements for safe operations in environments with a high density of UAS. Simulation results show message success and collision rates. With our proposed enhancements, UAT ADS-B can provide a decentralized air traffic system that operates safely in high-density situations.

Funder

NASA SBIR II

Publisher

MDPI AG

Reference31 articles.

1. Lee, K.S., Ovinis, M., Nagarajan, T., Seulin, R., and Morel, O. (2015, January 10–13). Autonomous patrol and surveillance system using unmanned aerial vehicles. Proceedings of the 2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC), Rome, Italy.

2. Waharte, S., and Trigoni, N. (2010, January 6–7). Supporting Search and Rescue Operations with UAVs. Proceedings of the 2010 International Conference on Emerging Security Technologies, Canterbury, UK.

3. Hoareau, G., Liebenberg, J.J., Musial, J.G., and Whitman, T.R. (2017). Package Transport by Unmanned Aerial Vehicles. (9,731,821), U.S. Patent.

4. Cooperative forest fire surveillance using a team of small unmanned air vehicles;Casbeer;Int. J. Syst. Sci.,2006

5. Suzuki, T., Miyoshi, D., Meguro, J., Amano, Y., Hashizume, T., Sato, K., and Takiguchi, J. (2008, January 20). Real-time hazard map generation using small unmanned aerial vehicle. Proceedings of the 2008 SICE Annual Conference, Chofu, Japan.

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