@inproceedings{70384bf5101b46d6b5368fc9f4b37887,
title = "Compressive Sensing of SAR Signals via Fourier Coefficients",
abstract = "Processing of SAR signals requires high sampling rates which is difficult to attain in practice. Consequently, sampling rate reduction is of high practical value in radar imaging. In this paper, we introduce a new algorithm, equivalent to the well-known Range-Doppler method, to process SAR data using the Fourier coefficients of the raw signals. We then demonstrate how to exploit the new algorithm features, in order to reduce the sampling rate and process the signals at sub-Nyquist rates. This also results in computational cost saving, both in time and memory. The performance of the algorithms is assessed using simulated data sets.",
author = "Kfir Abernian and Eldar, {Yonina C.}",
note = "This project has received funding from the European Union{\textquoteright}s Horizon 2020 research and innovation program under grant agreement No. 646804-ERC-COG-BNYQ, and from the Israel Science Foundation under Grant no. 335/14.; 11th European Conference on Synthetic Aperture Radar (EUSAR) ; Conference date: 07-06-2016 Through 09-06-2016",
year = "2016",
month = sep,
day = "5",
language = "الإنجليزيّة",
isbn = "9783800742288",
series = "EUSAR Proceedings",
publisher = "VDE Verlag GmbH",
pages = "970--974",
booktitle = "Proceedings of EUSAR 2016",
address = "ألمانيا",
}