Hochauflösende Verarbeitung von Radardaten mit synthetischer Apertur

In this thesis, the novel Frequency Scaling Algorithm for efficient and accurate
interpolation-free processing of Spotlight SAR data with Dechirp on Receive has
been developed. An accurate model of the Spotlight illumination geometry is
introduced. A new analytical formulation for SAR raw data with Dechirp on Receive Operation is derived. Starting with this formulation, an interpolation-free range cell migration correction is developed. This range cell migration correction is called Frequency Scaling.
Due to the constant target illumination start and end time in Spotlight SAR data, the SPECAN approach offers a very efficient processing in azimuth with poor accuracy. In the frame of this thesis, an azimuth scaling operation has been developed, which allows a highly accurate and interpolation-free processing of Spotlight data by the SPECAN approach.
Spotlight raw data with one-dimensional Dechirp on Receive have to be upsampled in azimuth before the data processing. In order to avoid this upsampling, a subaperture approach is introduced.
The high quality performance of the Frequency Scaling Algorithm is demonstrated by processing simulated and real raw data acquired with the E-SAR-Sensor of DLR. The phase fidelity is proved. As application example, a spotlight interferogram is generated from E-SAR raw data. Interesting physical properties of the Spotlight mode are demonstrated by the comparison of a Spotlight and a Stripmap
interferogram, processed from the same raw data.