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UAV Sense and Avoid with ADS-B, Simulation and Experiment

Tongguo Tang, Yang Lyu, Jun Hou, Chunhui Zhao, Jinwen Hu, Changbin Yu


ADS-B is regarded as a promising fashion on UAV SAA application. In this article, we proposed simulation and HIL platforms to test ADS-B based SAA functions, trials are carried out with real on-the-air ADS-B data. In the simulation, we build the simulation scenario with ArcGIS, and we use a small ADS-B receiver to collect airspace traffic status to generate a real UAV flying environment. In the experiment setup, we use both ADS-B In and ADS-B Out to carry out the SAA function with two small quadrotors. Both the simulation and experiment has shown the advantages of information sensing and collision resolution towards SAA scnarios, with higer precision, wider range as well as better stability.

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