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UBC Theses and Dissertations

Secondary range compression for improved range/Doppler processing of SAR data with high squint Schmidt, Alfred Rudolf


This thesis examines a new algorithm, to be called secondary range compression (SRC), for significantly improving the range resolution of the range/Doppler synthetic aperture radar (SAR) processing algorithm when the radar antenna is significantly squinted away from the zero Doppler direction. The algorithm was recently introduced by Jin and Wu [13] for application to the SEASAT SAR sensor. Significant extensions of their algorithm and models are presented. First the model of range broadening in the basic range/Doppler algorithm is extended by using a more general form for the range compressed profile. A mathematical theory is developed to examine more closely the approximations involved in both basic range/Doppler processing and SRC and to explore alternate SRC implementations. The theory is used to derive the SRC algorithm as a matched filter directly from the point target response model rather from the simplified range compressed response used by Jin and Wu. Two new discrete implementations (azimuth SRC and range SRC) are developed for both single-look and multilook processing. In addition two new alternate methods of multilook SRC are presented : fixed SRC and look-dependent SRC. The sensitivity of the SRC algorithms to parameter errors is investigated. Extensive simulations are developed to quantify the image quality produced by each algorithm for a variety of processing parameters. The simulation results with nominal RADARSAT parameters show that the SRC algorithms can significantly extend the range of squint angles which can be processed with the range/Doppler type of algorithm.

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