MSc Dissertation: Shirley Coetzee

Citation:

Coetzee, Shirley L. Synthetic Aperture Radar (SAR) Processing using Parallel Virtual Machine (PVM). MSc Dissertation. Department of Electrical Engineering, University of Cape Town, 1997.

 

Abstract:

This thesis explores various methods of using PVM (Parallel Virtual Machine) to improve the speed of processing a SAR (Synthetic Aperture Radar) image.

A network of heterogeneous machines were set up as the basis of the parallel virtual machine. SAR processing software was written for testing the PVM.

The software performed simplified range and azimuth compression on simulated SAR images of a point target. The theory and results were examined as part of the thesis. Complications such as range curvature, range migration and range dependent focusing were not addressed.

Tests were performed by running the compression program on this PVM system to gauge the performance of processing SAR images. Certain factors that effect the performance were taken into account and investigated. These factors were the task granularity, the total number of messages conveyed, the number of slaves, system resources, the method of parallelism, the network considerations, load balancing and the time spent on specific functions.

The tests proved that PVM improves the time taken to process a SAR image once these factors are optimised.

 

 

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