People
Ing. Petr Lukeš

doc. Ing. Jakub Hospodka, Ph.D.; Ing. Pavel Kulmon, Ph.D.; Bc. Michael Matejovie; Bc. Anna Wasserbauerová; Ing. Jakub Šimerka

Surveillance systems are an essential part of the critical infrastructure for ensuring the safety and the security of aviation by detecting and tracking targets. The data association in the scope of target tracking solves the issue of assigning measurements to targets. If a radar or other sensor outputs a measurement, it is necessary to determine if it is a new target, a false alarm or an already existing one and if so, to which target does the measurement belong. In practice there are numerous types of sensors whose outputs are anonymous measurements in the form of position or other relevant quantities and where the true identification is not known. In recent years machine learning has received considerable attention especially due to the reduced cost of sufficient computing power. The application of machine learning to the data association in the scope of target tracking has not been thoroughly explored yet. The use of machine learning to improve data association methods, reduce combinatorial explosion and implementation complexity is a path that could provide simplification of this ubiquitous task. Improvement of the data association presents not only an issue with significant research potential but also with wide practical and industrial applicability.

2022 - 2023

Studentská grantová soutěž ČVUT - SGS22/128/OHK2/2T/16

Ing. Kateřina Grötschelová; doc. Ing. Jakub Hospodka, Ph.D.; Ing. Adam Kleczatský, Ph.D.; Ing. Filip Konečný; doc. Ing. Jakub Kraus, Ph.D.; Ing. Tomáš Lipták, Ph.D.; Ing. Petr Lukeš; Ing. Kateřina Machula Půlpánová; Ing. Stanislav Pleninger, Ph.D.

Global Navigation Satellite System has become part of our everyday life and our dependence on it has been increasing though various fields including aviation. The GNSS signal transmitted by satellites is being received as a weak signal, therefore it is susceptible to interferences. A several situations of GNSS interference recently occurred in the real operation causing the limitation of using procedures based on satellite navigation. In most cases, the source of the interference is a jammer placed in a lorry which is located on a road or a car park around an airport. Furthermore, there may be intentionally transmitted jamming signals for disabling the position determination of military vehicles in war zones. There is a need to ensure the alternative navigation system for situations of GNSS signal unavailability, as well as to ensure the time synchronization. A several concepts of alternative systems have already been designed, however, none of them was determined the global alternative GNSS backup system. The project concerns with validation of designed concepts from the sight of appropriate solution for needs of the Czech Republic. Moreover, it aims to create an original model for position determination based on position information exchange among aircraft. This model enables solution for position calculation outside line of sight areas of the terrestrial stations within the alternative concepts.

2019 - 2020

Studentská grantová soutěž ČVUT - SGS19/132/OHK2/2T/16

Ing. Petr Jonáš, Ph.D.; doc. Ing. Jakub Kraus, Ph.D.; Ing. Petr Lukeš; Ing. Stanislav Pleninger, Ph.D.; Ing. Tereza Topková, Ph.D.; Ing. Tomáš Vlček; Ing. Jakub Šíma

The research assignment "Use of ADS-B messages as a GNSS interference indicator" responds to the demand for GNSS signal interference detection. Civil aviation uses the GNSS signal as the primary source for position and time information. Following the planned use of ADS-B within the SESAR and NextGen projects, the GNSS signal will become completely dominant. Due to the fact that civil aviation uses an unprotected signal, there is an increasing threat of interference. Existing means of identifying GNSS signal interference are limited to terrestrial local monitoring, which is very limited in aviation. The research brings a new concept of interference identification by analyzing ADS-B signal transmitted by flying planes. The method is based on the hypothesis that when the aircraft moves from an undisturbed area to an area with interference, the parameters that describe the quality of the surveillance information in the ADS-B messages. Software to capture these changes could be an indicator of a disturbed area. Due to the ADS-B signal range, it would be possible to monitor large areas in hundreds of kilometers. Identifying the disturbed areas would provide rapid information to relevant stakeholders.

2019 - 2020

Studentská grantová soutěž ČVUT - SGS19/127/OHK2/2T/16

Ing. Filip Konečný; doc. Ing. Jakub Kraus, Ph.D.; Ing. Petr Lukeš; Ing. Stanislav Pleninger, Ph.D.; Ing. Tereza Topková, Ph.D.

Safety at uncontrolled airports with Aerodrome Flight Information Service (AFIS) is limited by an absence of supportive systems for AFIS officers. With a growing affordability of technical tools, there is an opportunity to use technologically advanced systems in order to reduce AFIS officers' workload and thus increase the safety. Absence of legislative support and restrained attitude of uncontrolled airports lead to the lack of modern equipment needed to meet the requirements of the constantly rising air traffic. Usage of low-cost surveillance systems in combination with modern tracking methods brings new possibilities of using the surveillance information at smaller airports. Implementation of new systems which do not have to meet the strict certification criterions required from air traffic control systems may create the risk that the officer will move his attention from the aerodrome traffic zone to inaccurate position information displayed on the screen. To reduce this and other risks, the proposal of graphical user interface must be considered with regards to the AFIS needs. The surveillance information used to automate some processes will dramatically decrease the AFIS officer's workload and will allow him/her to concentrate on the critical tasks.

2019 - 2020

Studentská grantová soutěž ČVUT - SGS19/130/OHK2/2T/16