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KALMAN FILTERING - THEORY and PRACTICAL APPLICATIONS
In this course we are going to develop the basics of the Kalman Filtering Theory in the first three parts of this course. These are essential to understand the method of the Algorithm, which is fundamental to later applications. The fourth and fifth part are concerned with optimal filtering, which leads us to Kalman Filters, as these are optimal second order Filters in case of linear systems. During the last two steps we will show practical applications and we are going to examine the flow of information in the algorithm, which leads us to the concepts of Data Fusion and Virtual Measurements.
We are currently planing to install these courses to the named subjects.
If you are interested in this course, please contact: Arndt@maxwell.nv.et-inf.uni-siegen.de
SYNTHETIC APERTURE RADAR (SAR) SYSTEMS AND SIGNALS: SYSTEM THEORY, PROCESSING, INTERFEROMETRY
This course explains Synthetic Aperture Radar Systems by using a geometrical description, a physical description and by using the methods of system theory. The course will give a introduction into SAR-Systems, the geometry, the basics of physics and applications.
After introducing principal SAR-Geometry and the theory of the doppler shift, the signal theory of bandpass signals in the equivalent lowpass domain the SAR-Sensor will be specified in the equivalent lowpass domain. Using the geometrical describtion, first the SAR-Sensors point spread function will be derived in the time domain to be evaluated as SAR-System transfer function in the two-dimensional frequency domain.
Various processing (focussing) methods will be discussed in the time and frequency domain. As next step there will be an introduction in the SAR-Interferometry and the phase unwrapping resulting in the height generation of SAR images. The last step will focus several problems of SAR technology as motion compensation, range migration compensation, phase unwrapping, height conversion, layover and shadow areas.
Summarizing - the course will give the fundamentals to understand the SAR principle beginning with the data acquisition and ending with the threedimensional height and amplitude image of the illuminated surface.
If you are interested in this course or if you have any comments, please contact: Knedlik@nv.et-inf.uni-siegen.de