Azimuth signal reconstruction for HRWS SAR from recurrent nonuniform samples

The azimuth signal undersampled from the multi-channel SAR system for high resolution and wide swath imaging can be considerded as recurrent nonuniform sampling, which is a special case of multichannel sampling. Then from the point of view of reconstructing a bandlimited signal from recurrent nonuniform samples, we propose an new reconstruction algorithm based on filter-bank framework for suppressing azimuth ambiguities and therefore restoring the unambiguous azimuth full spectrum. The proposed algorithm has the advantage of acquiring the filter weights without matrix inversion over other reconstruction algorithms, which reduces tremendously the computation load. Finally, the performance of our algorithm is validated by numerical experiments.