In 2009 a development started in the Department of Broadband Infocommunications in the laboratory V2.619. in association with HungaroControl Zrt. The goal was to develop a multilateration based positioning system (WAMLAT), which is used for accurate position measurement and identification purposes in an airport area. The work was later continued after we moved to a different building and laboratory V1.504 in the university campus.
The WAMLAT system uses the Mode S Extended Squitter data packages to obtain data from the targets passively. The system consists of many subsystems, which are developed at the university over the years. A pilot system is currently operating in the Budapest area using five ground stations to collect data from the airplanes flying above the city. The data is then transferred to the central processing computer located at the university. The measurement results can now be previewed using an online interface.
The measurement contains several false detections. My task was to filter the plots calculated by the receiver software and display only the filtered results. Kalman-filtering was used to achieve the goals of the development due to its robustness and scalability. The work was done using LabView, the same development environment as the receiver software has. This made integration and communication easier.