Global ETD Search

11	Contact-Less High Speed Measurement over Ground with 61 GHz Radar Sensor Imran, Muneeb 01 November 2016 (has links) (PDF) Conventional FMCW radar principle was implemented on Symeo 61 GHz LPR®-1DHP-R radar sensor system. There were few limitations of the FMCW implementation which needed to be removed. First, target separation in multi target environment was not possible for objects at same distance. For example, there are two targets, one is moving and one is static. When the moving target approaches the static target and becomes parallel to static target, which means they are at the same distance. At this point, the system is unable to distinguish between two targets. Second, high resolution in velocity measurement was needed. To overcome these limitations Range Doppler Signal Processing was proposed. For the implementation of the Range Doppler algorithm, first of all proof of concept is needed. Simulations are performed using MATLAB to simulate Range Doppler algorithm using raw data from the sensor. After successful simulation, prototype is developed using python. This also provides the real time visualization of Range Doppler signal processing along with peak detection with distance and velocity measurements. With the Range Doppler implementation, separation between static and moving target becomes possible. Later the algorithm is implemented on Texas Instrument DSP in C considering the resource limitations of the target hardware. To validate the Range Doppler implementation and to determine the measurements accuracy, multiple test setups are created. Two main local testing environments have been setup, linear unit and turntable. The system is tested on these environments for different velocities and distances along with multiple targets and on different surfaces. Furthermore, the system is tested at an industrial site for detecting the fluid speed, which is also possible with the Range Doppler implementation. Radarsensor Signalverarbeitung DSP Implementierung Radar Sensor Range Doppler Signal Processing DSP Implementation ddc:000 Informatik Radarsensor Signalverarbeitung Digitale Signalverarbeitung
12	Semi-analytische Modellierung optischer Multimode-Wellenleiter mit rechteckigem Querschnitt Halbe, Kilian January 2008 (has links) Zugl.: Siegen, Univ., Diss., 2008
13	Ein Beitrag zur Verbesserung und Erweiterung der Lidar-Signalverarbeitung für Fahrzeuge Kapp, Andreas. January 2007 (has links) Zugl.: Karlsruhe, Universiẗat, Diss., 2007.
14	Empfangsalgorithmen für nichtlinear verzerrte Mehrträgersignale Zillmann, Peter January 2007 (has links) Zugl.: Dresden, Techn. Univ., Diss., 2007
15	Grundlagen der digitalen Kommunikationstechnik Übertragungstechnik - Signalverarbeitung - Netze ; mit 42 Tabellen und 62 Beispielen Roppel, Carsten January 2006 (has links) Literaturverz. S. 421 - 425
16	Optimierung des Entwurfs mikroelektromechanischer Drehratensensorsyteme / Rocznik, Marko. Buff, Werner January 2005 (has links) Techn. Univ., Diss.--Ilmenau, 2005.
17	Ein Realzeitverfahren zur Störgeräuschmaskierung bei der Audiosignalübertragung im Kraftfahrzeug / Klöckner, Ralf. January 1991 (has links) Gesamthochsch., Diss--Paderborn.
18	Study on development and application of computer aided algorithms using invasive and non-invasive electrical signals in the electrophysiological investigation Pang, Luping January 2008 (has links) Zugl.: Karlsruhe, Univ., Diss., 2008
19	Elektrohydraulische Bedarfsstromsysteme am Beispiel eines Traktors Fedde, Thomas January 2007 (has links) Zugl.: Braunschweig, Techn. Univ., Diss., 2007
20	Transceivers for MIMO Systems design, analysis and iterative decoding Sezgin, Aydin January 2005 (has links) Zugl.: Berlin, Techn. Univ., Diss., 2005 u.d.T.: Sezgin, Aydin: Space time codes for MIMO systems

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