Research team of Tomáš Zálabský

Research goal

The research team deals with application-oriented research and development activities in the field of modern radar systems and components, using advanced signal processing techniques for detection, identification, classification and localization of objects. The main areas of scientific research are:

 

  • Design of antenna elements and synthesis of antenna arrays
  • Detection, identification, localization and classification of objects using radar sensors
  • MIMO radar systems
  • Application of global navigation systems in the field of safety and reliability of various means of transport.
  • Study of inhomogeneities, perturbations and electrical properties of organic electronics, using mapping of electromagnetic field distribution in the near zone of the radiation source

 

Key words

Radar, Radiolocation, Detection, Identification, Localization, Classification, Signal processing, Communication systems, Optimalization, Antennas, Antenna arrays, Microwave circuits, Digital signal processors, FPGA, Global Navigation GNSS Systems

Members of the Research Team

Head of the Research Centre
Ing. Tomáš Zálabský, Ph.D.

Ing.
Tomáš
Zálabský
,
Ph.D.


Fakulta elektrotechniky a informatiky

tomas.zalabsky@upce.cz
466 037 201

I am the head of the Research center at the Faculty of Electrical Engineering and Informatics and of this research team.  In addition to lecturing at the faculty, I am mainly engaged in scientific research activities. I am most interested in the area of design, synthesis, simulation and optimalization of antenna elements, arrays and fields. I also have extensive experience with the design and implementation of passive high-frequency circuits, such as planar and waveguide filters, directional taps, or power dividers. Currently, I am also actively involved in the signal processing of radio signals from various sensors or radars in order to detect, locate, identify and classify targets.

During my university career, I gained a lot of experience in solving several scientific research projects in cooperation with industrial partners from the Czech Republic and other foreign research organizations. I try to further deepen this cooperation and thus develop the research team, by constantly pushing the boundaries of knowledge of its individual members.

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Ing. Zdeněk Němec, Ph.D.

Ing.
Zdeněk
Němec
,
Ph.D.


Fakulta elektrotechniky a informatiky

zdenek.nemec@upce.cz
466 036 449
Ing. Jan Pidanič, Ph.D.

Ing.
Jan
Pidanič
,
Ph.D.


Fakulta elektrotechniky a informatiky

jan.pidanic@upce.cz
466 037 517
Ing. Luboš Rejfek, Ph.D.

Ing.
Luboš
Rejfek
,
Ph.D.


Fakulta elektrotechniky a informatiky

lubos.rejfek@upce.cz
466 036 136
Ing. Tomáš Krejčí

Ing.
Tomáš
Krejčí


Fakulta elektrotechniky a informatiky

tomas.krejci@upce.cz
466 037 109
Ing. Karel Juryca

Ing.
Karel
Juryca


Fakulta elektrotechniky a informatiky

karel.juryca@upce.cz
466 037 310

Ing.
Tomáš
Hnilička


Fakulta elektrotechniky a informatiky

tomas.hnilicka@student.upce.cz
466 037 540

Ing.
Josef
Jordán


Fakulta elektrotechniky a informatiky

josef.jordan@student.upce.cz
466 037 540

Ing.
Ondřej
Němec


Fakulta elektrotechniky a informatiky

ondrej.nemec3@student.upce.cz
466 037 540

Ing.
Vojtěch
Valenta


Fakulta elektrotechniky a informatiky

vojtech.valenta@student.upce.cz
466 037 540

 

  • JOSHI, Mohit Kumar, Narugopal NAYEK, Tapeshwar TIWARI, Jan PIDANIC, Zdenek NEMEC a Ratnajit BHATTACHARJEE. Multiphysics and Multipactor Analyses of TE 022 -Mode High-Power X-Band RF Window. IEEE Microwave and Wireless Components Letters. 2020, 30(3), 272-275. DOI: 10.1109/LMWC.2020.2971652. ISSN 1531-1309. (2020)
  • HARYANTO, Toto, Adib PRATAMA, Heru SUHARTANTO, Aniati MURNI, Kusmardi KUSMARDI a Jan PIDANIC. Multipatch-GLCM for Texture Feature Extraction on Classification of the Colon Histopathology Images using Deep Neural Network with GPU Acceleration. Journal of Computer Science. 2020, 16(3), 280-294. DOI: 10.3844/jcssp.2020.280.294. ISSN 1549-3636. (2020)
  • T. Zalabsky, T. Hnilicka and M. Falta, "Omnidirectional Antenna for Smart Railway Crossings," 2020 New Trends in Signal Processing (NTSP), Demanovska dolina, Slovakia, 2020, pp. 1-4, doi: 10.1109/NTSP49686.2020.9229544.
  • VALENTA, V. - PIDANIČ, J. - NĚMEC, O. The Process of Metadata Management for Radar Target Classification Algorithm Development. In New Trends in Signal Processing, NTSP : proceedings. New York: IEEE (Institute of Electrical and Electronics Engineers), 2020. s. 126-129 s. ISBN 978-1-72816-154-9.
  • Janveja, M., Paul, B., Trivedi, G., ...Jan, P., Nemec, Z., Design of Efficient AES Architecture for Secure ECG Signal Transmission for Low-power IoT Applications, Proceedings of the 2020 30th International Conference Radioelektronika 
  • Skrabanek, P., Dolezel, P., Nemec, Z., Stursa, D., Person Detection for an Orthogonally Placed Monocular Camera, Journal of Advanced Transportation, 2020, 2020, 8843113, Jimp snad Q2 podle AIS
  • J. Jordan and B. Brtnik, "Finding the Sensitivity to Transfer Branch by Graphs," 2020 New Trends in Signal Processing (NTSP), Demanovska dolina, Slovakia, 2020, pp. 1-4, doi: 10.1109/NTSP49686.2020.9229527.
  • D. Matousek, B. Brtnik and J. Jordan, "Streamlined Fibonacci Charge Pump," 2020 International Conference on Applied Electronics (AE), Pilsen, Czech Republic, 2020, pp. 1-4, doi: 10.23919/AE49394.2020.9232866.
  • JURYCA, Karel, Jan PIDANIC a Heru SUHARTANTO. Prediction of Wind Turbine's Doppler Frequency Shifts. In: 2020 New Trends in Signal Processing (NTSP) [online]. IEEE, 2020, 2020-10-14, s. 1-5 [cit. 2020-12-11]. ISBN 978-1-7281-6155-6. Dostupné z: doi:10.1109/NTSP49686.2020.9229547
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Research

The research team focuses on applied research and experimental development with respect to current requirements of industrial partners. Members of the research team are competent to design and develop microwave and antenna components, as well as to design algorithms of signal processing in modern radar systems. These modern systems will be subsequently implemented in hardware resources. Members of the research group take part in solving long-term scientific research projects supported by national and international grant agencies. The research team also has experience with the application of global navigation systems in the rail transport environment. Research in this area is especially beneficial due to its large future perspective in the field of applied research. Modern laboratory equipment at FEEI is used to create designs, simulations and verifications of research activities.

The research is divided into the following sub-areas:

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The research focuses on development of algorithms for optimizing the distribution of sparse antenna arrays and sparse antenna fields, with the aim of suppressing the lateral radiating lobes of these antenna structures as much as possible. This optimization allows connection of research to advanced techniques determining direction of incoming signal to sparse antenna arrays. Phase interferometry methods and compression sensing methods are mainly used. These sparse structures allow a significant reduction of the amount of transmitter/ receiver blocks and thus significantly reduce the cost of radar units.

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Research activities are focused on areas of reliable detection, identification, and estimation of parameters (position, speed, trajectory, etc.) of desirable object. This is especially in the case of objects with indistinct radar characteristics – small and strongly fluctuating effective reflective surface or a small Doppler shift. These objects appear in the environment with interference and noise. Classification methods are being developed for detecting targets. Designed methods will be focused on use in coherent radars. These are mainly High-resolution range profiles and methods for evaluating polarization characteristics. For increasing the reliability of classification, a combination of multiple classifiers will be further considered, especially with usage of neuron nets.

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Research activities aim at the use of MIMO radar systems using one or more transmitters. The main emphasis is put on research in the area of OFDM MIMO radar systems, which represent a modern concept of radar devices and have a wide potential for application in practice. In this area, the research focuses on design and optimalization of MIMO antenna arrays with respect to the sensor coverage area and achieving sufficient resolution. Furthermore, it focuses on design of optimization of transmitted signals, which must be chosen appropriately, especially regarding the quality of target detection and interference immunity.  The key activity is designing advanced methods of signal processing that will allow reliable estimation of target positions with high accuracy, improve the resolution of the sensor compared to conventional methods, and will allow subsequent accurate tracking of targets over time.

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The aim of the research is verification of the possibility of GNSS system implementation in order to increase the safety of traffic on transport infrastructures and autonomous management, using elements of reliable and safe detection and location of objects. The research aims to verify the requirements for the deployment of safe location systems on railway lines using GNSS systems. The acquired knowledge will be verified for use on road transport infrastructure.

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The research focuses on design and realization of an innovative method for mapping and visualizing the distribution of the electromagnetic field in the near zone of the radiation source. This method will allow detection and localization of inhomogeneities and faults of flexible electromagnetic interference (EMI) shields of electronics, based on the concept of artificial skin. It will also be used for the study of insertion loss, in material research and for optimization of thin layers of composites from an electrical, mechanical and chemical point of view. The modern material base will give the studied layers elasticity, flexibility, self-renewability, biocompatibility or degradability, and simultaneously the ability to shade EMI. The method also enables detailed observation of material whose macroscopic features are elements such as homogeneity of dispersed fillers, electrical conductivity, and cohesion change due to mechanical stress.

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