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Radar Signal Processing
Komora, Matúš ; Maršík, Lukáš (referee) ; Zemčík, Pavel (advisor)
This work is devoted to signal processing and evaluation of Doppler radar. By Signal processing is specifically means to calculate the velocity of the object based on the responses received from the radar. Mathematical method used is a discrete Fourier transform, which is one of the standards in the analysis of signals. Because of the radar signal is random, discrete Fourier transform itself is not sufficient to obtain accurate results, so it is necessary to use other methods that try to minimize weaknesses.
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Radar Signal Processor in FPGA
Přívara, Jan ; Musil, Petr (referee) ; Maršík, Lukáš (advisor)
This work describes design and implementation of radar processor in FPGA. The theoretical part is focused on Doppler radar, principles of radar signal processing methods and target platform Xilinx Zynq. The next part describes design of radar processor including its individual components and the solution is implemented. FPGA components are written in VHDL language. In the end, the implementation is evaluated and possible continuation of this work is stated.
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Small Target Trajectory Measurement Using CW Radar Network
Fuchs, Michal ; Masopust, Jiří (referee) ; Kocur,, Dušan (referee) ; Šebesta, Jiří (advisor)
This dissertation is focused on target trajectory identification using CW radar sensor network measuring. An omni-directional radar based on single mixing is considered for measurement in ballistic tunnel, where information about direction of target approaching is a priory known. Applied experimental radar network setup with system controller and acquisition units is demonstrated. Mathematical models and optimized structures have been developed for fitting of system parameters and presented in the theoretical part. The second part is aimed to the multi-trajectory identification. New methodical techniques of this work consist in identification of the points of the closest approach with V model function and utilizing gradient methods for path identification.
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Radar-Based Measurement for Speed Disciplines
Piňos, Michal ; Široký, Adam (referee) ; Maršík, Lukáš (advisor)
The aim of this bachelor thesis is radar-based measurement for speed disciplines. For this purpose, the Doppler radar with continuous wave was used, K-MC4 to be specific. Standard signal processing techniques were used to extract the speed information from the radar signal. The key method for obtaining Doppler frequency from signal is Fourier transform. Cosine effect is compensated based on the computed angle.The result of this work is a detector capable of measuring speed and direction of measured objects. Implemented solution also allows the detection of certain objects.
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Radar-Based Measurement for Speed Disciplines
Piňos, Michal ; Široký, Adam (referee) ; Maršík, Lukáš (advisor)
The aim of this bachelor thesis is radar-based measurement for speed disciplines. For this purpose, the Doppler radar with continuous wave was used, K-MC4 to be specific. Standard signal processing techniques were used to extract the speed information from the radar signal. The key method for obtaining Doppler frequency from signal is Fourier transform. Cosine effect is compensated based on the computed angle.The result of this work is a detector capable of measuring speed and direction of measured objects. Implemented solution also allows the detection of certain objects.
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Radar Signal Processor in FPGA
Přívara, Jan ; Musil, Petr (referee) ; Maršík, Lukáš (advisor)
This work describes design and implementation of radar processor in FPGA. The theoretical part is focused on Doppler radar, principles of radar signal processing methods and target platform Xilinx Zynq. The next part describes design of radar processor including its individual components and the solution is implemented. FPGA components are written in VHDL language. In the end, the implementation is evaluated and possible continuation of this work is stated.
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Algorithms for Signal Processing in FPGA
Maršík, Lukáš ; Fučík, Otto (referee) ; Zemčík, Pavel (advisor)
This master's thesis describes ways of signal processing via digital devices. Major field of interest is an analysis of Doppler radar response and then mining of informations about detected object (e.g. speed, movement direction, length, ...). There was realized too little research, that's why borrowing some procedures from different branches not too much related to the IT is necessary. In case of using very complex methods that are easy to parallel, hardware implementation on the FPGA is supposed. With transceiver there is created a very powerful on-line system able to process most of tasks real-time. Then processed and transformed data are sent to the output so visualization and display can be made.
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Radar Signal Processing
Komora, Matúš ; Maršík, Lukáš (referee) ; Zemčík, Pavel (advisor)
This work is devoted to signal processing and evaluation of Doppler radar. By Signal processing is specifically means to calculate the velocity of the object based on the responses received from the radar. Mathematical method used is a discrete Fourier transform, which is one of the standards in the analysis of signals. Because of the radar signal is random, discrete Fourier transform itself is not sufficient to obtain accurate results, so it is necessary to use other methods that try to minimize weaknesses.
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Small Target Trajectory Measurement Using CW Radar Network
Fuchs, Michal ; Masopust, Jiří (referee) ; Kocur,, Dušan (referee) ; Šebesta, Jiří (advisor)
This dissertation is focused on target trajectory identification using CW radar sensor network measuring. An omni-directional radar based on single mixing is considered for measurement in ballistic tunnel, where information about direction of target approaching is a priory known. Applied experimental radar network setup with system controller and acquisition units is demonstrated. Mathematical models and optimized structures have been developed for fitting of system parameters and presented in the theoretical part. The second part is aimed to the multi-trajectory identification. New methodical techniques of this work consist in identification of the points of the closest approach with V model function and utilizing gradient methods for path identification.
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