Ultra Wideband Synthetic Aperture Radar Imaging
Imaging algorithm
Nick Cancrinus (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Gyula Max (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Pascal Aubry – Mentor
Alle-Jan van der Veen – Graduation committee member
Daniele Cavallo – Graduation committee member
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
Nowadays, localization of cars is mostly done using GPS. Some major disadvantages of this method are that it is not very accurate and that it cannot be used indoors. These disadvantages do not form a major problem when an active human driver is controlling the car, but will become more critical when the autonomy of vehicles increases. The goal of this project is to use Synthetic Aperture Radar techniques to overcome the problems of GPS. To achieve this, different imaging algorithms have been implemented, and a single method has been extended to directly accommodate the road-mapping application. Different measurements were done to test the algorithms and the results were promising. It is hoped that the use of this technology will become wide-spread and that it can help with creating a safer and more efficient world of traffic, where increased self-driving capabilities are facilitated.