Multilook SAR from measurements partitioned based on synthetic sensor parameters

The balance between spatial resolution and the speckle in multilook SAR imaging may be improved by intelligently partitioning measurements of a sparsely populated, nonuniform, three-dimensional receiver array. This paper presents an approach to partitioning measurements from a single transmitter and multiple coherenet receivers using previously developed two-dimensional synthetic sensor locations based on eigen analysis of first-order Taylor expansions of the sensor measurement parameters. The approach is general and is demonstrated using simulated data for a nonuniformly-spaced two-dimensional sidelooking array and low time-bandwidth product.