Geometry Effect on a Multilateration Air Traffic Surveillance System Performance

Nowadays, many researchers pay much attention to Multilateration localization process in air traffic control. This paper deals with system geometry effect on target localization process. Modifications are proposed in both the sensors deployment network and the algorithm sequence used. The work will be on a 3 steps: First, working on a small cell network taking minimum number of sensors. Different optimal sensor deployment methods will be examined and a pilot area will be chosen from a Multilateration network at Cairo International Airport, 05L Runway (RW). Simulation for a single aircraft is performed and the results are compared. Second, the deployment method that gives the best results in a small cell network will be considered and a new sensors deployment covering an area larger than the existing one is proposed, trying to have the same performance of the existing system with the advantage of decreasing the number of sensors. Simulation is performed again for both the total proposed network and the total existing Multilateration deployment network and the results are compared. Finally, the proposed Multilateration network is divided into 9 main clusters and 4 backup clusters instead of using all sensors in localization process, and the cluster that has the least PDOP (position dilution of precision) is selected. To enhance the localization process only the cluster that has least PDOP < 21 is selected. Otherwise, are rejected.