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Object Recognition with Surveillance Radar Systems

  • This diploma thesis is devoted to the design and analysis of a radar signal enabling an object classification capability in surveillance radar systems based on high-resolution radar range profiles. It picks up the research results from Kastinger (2006), who investigated classification algorithms for high-resolution radar range profiles, and Meier (2007), who programmed a MATLAB toolbox for the evaluation of radar signals. A classical, brief, introduction to radar fundamentals is given (Chapter 1) as well as the motivation for this thesis and certain basic parameters used. After high-resolution radar range profiles are discussed with special focus on surveillance radar systems (Chapter 2), the results of Kastinger (2006) are picked up (Chapter 3) as far as necessary for the following chapters of this thesis. Following the chapters on radar basics, high-resolution radar range profiles and classification, basic and advanced radar signals are discussed and analysed, especially their range resolution and sidelobe levels (Chapter 4). This includes linear frequency-modulated pulses and nonlinear frequency-modulated pulses as well as phase-coded pulses, coherent trains of identical pulses, and stepped-frequency waveforms. Their analysis is based on Meier's MATLAB toolbox. In Chapter 5 we will bring up additional points that have to be considered in radar system design for implementing a classification capability, before this thesis ends with an overall conclusion (Chapter 6).

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Author:Martin Kothe
Document Type:Master's Thesis
Year of Publication:2008
Publishing Institution:HTWG Konstanz
Release Date:2008/08/14
GND Keyword:Objekterkennung; Radar
SWB PPN:1647175291
Institutes:Fakultät Elektrotechnik und Informationstechnik
DDC functional group:600 Technik
Open Access?:Ja
Licence (German):License LogoKeine CC-Lizenz - Es gilt der Veröffentlichungsvertrag für Publikationen