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Radar Signal Processing for Radio Altimeter
Krasňanský, Milan ; Maršík, Lukáš (referee) ; Zemčík, Pavel (advisor)
Táto diplomová práca sa zaoberá návrhom a implementáciou algoritmu pre spracovaniu signálu z radaru využívajúceho frekvenčne modulovanú kontinuálnu vlnu. Cieľom je implementácia algoritmu, ktorý by bol dostatočne rýchly (výpočet v reálnom čase na cieľovej platforme) a dostatočne presný pre použitie v rádiovýškomere v ľahkom lietadle so zameraním na použitie počas pristávacieho manévru. Hlavnou metódou spracovania signálu, použitou v implementácii, je Diskrétna Fourierova transformácia. Vytvorený algoritmus bol otestovaný na reálnych letových dátach a pre pristávací manéver dosiahol uspokojivé výsledky.
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Radar Signal Diffusion Simulator
Ormoš, Michal ; Zemčík, Pavel (referee) ; Maršík, Lukáš (advisor)
Aim of this paper as the title suggest is creating radar simulator, which is capable of build up whole process of capturing broadcasting signal. From radar broadcasting, through his simple rebound from object up to capturing the returning signal back to radar. All this in virtual environment.The problem was solved in Matlab programming environment, in a manner of simulation of three dimensional area, which contains arbitrarily moving points. The points represent radar and object on which is radar aiming. Within the environment we are calculating, obtaining and processing all necessary data. From distance, angles to calculations of frequency and power of returning signal.The result of this work is full-valued simulated environment, which demonstrate whole process of capturing moving object by radar to display it in spectogram, which contains information about object passing the radar. Output is raw signal responded to Doppler shift, emerging in simulated environment. Simulator serve for creating the early concept.
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Radar Detection of Vital Signs
Köteleš, Dávid ; Zemčík, Pavel (referee) ; Maršík, Lukáš (advisor)
Nowadays, it is very important to measure the vital signs of a person. Thanks to the data that we get from measure, we can control health of the person. It is usefull as well in sports, where we can control performance of sportsman. Different technologies are used for measurement. We can divide these technologies in contact and contactless methods. Contact methods have their disadvantage and that one is when patient can not feel comfortable and then the results may not be correct. Thats why we are currently using contactless methods that we try to develop to achiev highest possible accuracy. In this work are signal processing strategies using fast fourier transform and different filtration techniques for monitoring vital signs described using radar device and eventually their variatons. These strategies are then tested on real data and compared to achiev best result. The IWR1642Boost and Texas Instruments demo software is used for practical exploration.
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Breathing Rate Estimation from the Photoplethysmogram
Petrík, Jakub ; Králík, Martin (referee) ; Kozumplík, Jiří (advisor)
The main topic of this bachelor thesis are methods for breathing rate estimations from photopletysmographic signals. In the theoretical part of the thesis we find a biref review of methods that are used for breathing rate estimation. These methods are than tested and their performance is evaluated on two pubilc databases BIDMC and CapnoBase. These databases also contain reference values of respiratory rate.
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Radar Detection of Vital Signs
Köteleš, Dávid ; Zemčík, Pavel (referee) ; Maršík, Lukáš (advisor)
Nowadays, it is very important to measure the vital signs of a person. Thanks to the data that we get from measure, we can control health of the person. It is usefull as well in sports, where we can control performance of sportsman. Different technologies are used for measurement. We can divide these technologies in contact and contactless methods. Contact methods have their disadvantage and that one is when patient can not feel comfortable and then the results may not be correct. Thats why we are currently using contactless methods that we try to develop to achiev highest possible accuracy. In this work are signal processing strategies using fast fourier transform and different filtration techniques for monitoring vital signs described using radar device and eventually their variatons. These strategies are then tested on real data and compared to achiev best result. The IWR1642Boost and Texas Instruments demo software is used for practical exploration.
|
|
|
Radar Signal Diffusion Simulator
Ormoš, Michal ; Zemčík, Pavel (referee) ; Maršík, Lukáš (advisor)
Aim of this paper as the title suggest is creating radar simulator, which is capable of build up whole process of capturing broadcasting signal. From radar broadcasting, through his simple rebound from object up to capturing the returning signal back to radar. All this in virtual environment.The problem was solved in Matlab programming environment, in a manner of simulation of three dimensional area, which contains arbitrarily moving points. The points represent radar and object on which is radar aiming. Within the environment we are calculating, obtaining and processing all necessary data. From distance, angles to calculations of frequency and power of returning signal.The result of this work is full-valued simulated environment, which demonstrate whole process of capturing moving object by radar to display it in spectogram, which contains information about object passing the radar. Output is raw signal responded to Doppler shift, emerging in simulated environment. Simulator serve for creating the early concept.
|
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Radar Signal Processing for Radio Altimeter
Krasňanský, Milan ; Maršík, Lukáš (referee) ; Zemčík, Pavel (advisor)
Táto diplomová práca sa zaoberá návrhom a implementáciou algoritmu pre spracovaniu signálu z radaru využívajúceho frekvenčne modulovanú kontinuálnu vlnu. Cieľom je implementácia algoritmu, ktorý by bol dostatočne rýchly (výpočet v reálnom čase na cieľovej platforme) a dostatočne presný pre použitie v rádiovýškomere v ľahkom lietadle so zameraním na použitie počas pristávacieho manévru. Hlavnou metódou spracovania signálu, použitou v implementácii, je Diskrétna Fourierova transformácia. Vytvorený algoritmus bol otestovaný na reálnych letových dátach a pre pristávací manéver dosiahol uspokojivé výsledky.
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