Entwicklung und Analyse von Methoden zur adaptiven Redundanzreduktion in mehrkanaligen Radarsystemen

Abstract

The topic of this thesis is a new approach to on-board signal processing for SAR (Synthetic Aperture Radar) systems with multiple elevation channels. Multi-channel satellite SAR systems have been proposed to meet the rising demands for increased resolutions and larger imaged areas. A problem with the ractical realization of these systems is the high data rate necessary for transmission of the multi-channel data to the ground. Existing approaches for data reduction are based on digital beamforming (SCORE, Scan On Receive) and a following scalar quantization (BAQ, Block Adaptive Quantization). In this thesis, a more general, information theory-based approach called redundancy reduction is investigated, with the aim of preserving more information and allowing more flexible post-processing of the data. Transform coding is proposed as a practical implementation of redundancy reduction, and simulation results are presented.