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UWB Imaging System: Reconstruction Algorithm and Demonstrator


X. Zhang

Bachelor Thesis, FS 2010

Impulse-Radio Ultra-Wideband (UWB) signals allow accurate distinction between multipath components due to their high resolution in time domain. UWB radar networks therefore enable localization of passive objects using first order reflections. Cooperation between spatially distributed nodes of a sensor network allows robust detection even in cases of bad viewing conditions. In the course of this project, we develop three algorithms to reconstruct the walls enclosing a two dimensional room of arbitrary shape. We assume ray-optical propagation of the signals between the transmitting and receiving antennas. The first two algorithms compute points of reflection based on geometrical considerations and require very accurate channel estimation. The third approach is designed to be more robust against distortion. In this case, we assume the multipath delays to be samples of Gaussian processes. The probability densities obtained from evaluating a first order re- flection are superimposed and result in a density map showing the locations of the walls. Additional concepts to support the reconstruction of complex shapes are introduced. All three approaches are computationally cheap but nevertheless precise. Tests using simulated channel impulse responses provided by a raytracer were performed to confirm their feasibility. Eventually, an intuitive graphical user interface (GUI) is developed to demonstrate the algorithms.


Type of Publication:

(13)Semester/Bachelor Thesis

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% Autogenerated BibTeX entry
@PhdThesis { Xxx:2010:IFA_5433
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