High resolution SAR processing requires a large amount of computations. These computational requirements can be reduced at the cost of reduced system performance. The objectives of this project are twofold: (I) to develop a number of techniques for reducing the computation requirements, including: sub-array and thinned-array processing, coarse quantization, and range pre-preprocessing; (II) to study the tradeoff of performance (p(d), p(fa), and resolution) vs. Computations for each of these techniques. A set of tradeoff curves will be developed using a combination of analysis and computer simulation.
