Mode-S radar interrogation algorithm design, simulation environment setup and error correction
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Date
2023
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Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2023.
Abstract
The air traffic density was relatively low back in the day compared to today’s dense air traffic environment. This increasing trend in air traffic density will continue in the near future with the addition of different aerial vehicles. Before the Mode-S protocol, Mode A and Mode C were in use; however, the Mode A/C configuration was only usable in sparsely dense air traffic. One of the useful features of Mode-S is the ability of probabilistic interrogation. However, there has not yet been a sophisticated algorithm for closely located large numbers of aircraft. Considering a futuristic air environment with a swarm of drones and airbuses equipped with transponders, the probabilistic interrogation feature of Mode-S is utilized, and an algorithm is designed. The proposed algorithm is able to collect close aircraft information in a relatively short time. There has also been created a high-level Mode-S uplink and downlink communication simulator in order to exchange all-call communication and record the algorithm’s performance in terms of time and number of interrogations sent. Furthermore, error correction of erroneous messages, usually from garbling and noise, is investigated. An error correction method is developed and tested with real-time data coming from commercial aircraft.