Ultra Wideband Synthetic Aperture Radar Imaging

Imaging algorithm

Bachelor Thesis (2017)
Author(s)

N.A. Cancrinus (TU Delft - Electrical Engineering, Mathematics and Computer Science)

G.F. Max (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Contributor(s)

PJ Aubry – Mentor

A. J. van der Veen – Graduation committee member

D Cavallo – Graduation committee member

Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright
© 2017 Nick Cancrinus, Gyula Max
More Info
expand_more
Publication Year
2017
Language
English
Copyright
© 2017 Nick Cancrinus, Gyula Max
Graduation Date
05-07-2017
Awarding Institution
Delft University of Technology
Faculty
Electrical Engineering, Mathematics and Computer Science
Reuse Rights

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.

Files

License info not available