A Modified Range Migration Algorithm for FMCW SAR Signal Processing

Keywords: FMCW SAR, Range migration algorithm

Abstract

The range migration algorithm (RMA) is an accurate imaging method for processing synthetic aperture radar (SAR) signals. However, this algorithm requires a big amount of computation when performing Stolt mapping. In high squint and wide beamwidth imaging, this operation also requires big memory size to store the result spectrum after Stolt mapping because the spectrum will be significantly expanded. A modified Stolt mapping that does not expand the signal spectrum while still maintains the processing accuracy is proposed in this paper to improve the efficiency of the RMA when processing frequency modulated continuous wave (FMCW) SAR signals. The modified RMA has roughly the same computational load and required memory size as the range Doppler algorithm (RDA) when processing FMCW SAR data. In extreme cases when the original spectrum is significantly modified by the Stolt mapping, the modified RMA achieves better focusing quality than the traditional RMA. Simulation and real data are used to verify the performance of the proposed RMA.

References

Edrich, M. ‘Design Overview and Flight Test Results of the Miniaturised SAR Sensor MISAR’. Proc. EuRAD, Amsterdam, Netherlands, Oct. 2004.

Edrich, M. ‘Ultra-lightweight synthetic aperture radar based on a 35 GHz FMCW sensor concept and online raw data transmission’, IEE Pro. Radar and Sonar Navig. 2006, 153, pp. 129-134.

Berizzi, F., Martorella, M., Cacciamano, A., Capria, A,: ‘A Contrast-Based Algorithm for Synthetic Range-Profile Motion Compensation’, IEEE Trans. Geosci. Remote Sens. 2008, 46, pp. 3053-3062.

Essen, H., Stanko, S., Sommer R., Johannes, W., Wahlen, A., Wilcke, J., Hantscher, S.: ‘Millimetre Wave SAR for UAV Operation. Proc. Asia-Pacific Microwave Conference’, Melbourne, Australia, 2011.

Max, F.; Wahlen, A.; Peter, W.; Erich, M. Processing of MIRANDA35 FMCW-SAR Data using a Time-Domain Algorithm. Proc. EUSAR, Berlin, Germany, 2014.

Rossum, W. V., Otten, M., Dorp, P. V.: ‘Multichannel FMCW SAR’, Proc. EUSAR, Nuremberg, Germany, Apr. 2012.

Edwards, M., Madsen, D., Stringham, C., Margulis, A., Wicks, B., Long, D.: ‘microASAR: A Small, Robust LFM-CW SAR for Operation on UAVs and Small Aircraft’, Proc. IGASS 2008.

Wit, J. J. M. de, Meta, A., Hoogeboom, P.: ‘Modified Range-Doppler Processing for FM-CW Synthetic Aperture Radar’, IEEE Geosci. Remote Sens. Lett., 2006, 3, pp. 83-87.

Meta, A., Hoogeboom, P., Ligthart, L. P.: ‘Signal Processing for FMCW SAR’, IEEE Trans. Geosci. Remote Sens., 2007, 45, pp. 3519-3532.

Zaugg, E. C., Long, D.: ‘Generalized Frequency Scaling and Backprojection for LFM-CW SAR Processing’, IEEE Trans. Geosci. Remote Sens., 2015, 53, pp. 3600-3614.

Wang, R., Loffeld, O., Nies, H., Knedlik, S., Hagelen, M., Essen, H.: ‘Focus FMCW SAR Data Using the Wavenumber Domain Algorithm’, IEEE Trans. Geosci. Remote Sens., 2010, 48, pp. 2109-2118.

Cafforio, C., Prati, C., Rocca, F.: ‘SAR data focusing using seismic migration techniques’, IEEE Trans. on Aerospace and Electr. Syst., 1991, 27, pp. 194-207.

Cafforio, C., Prati, C., Rocca, F.: ‘Full resolution focusing of Seasat SAR images in the frequency-wave number domain’, Int. Journal of Remote Sens., 1991, 12, pp. 491-510.

Reigber, A., Alivizatos, E., Potsis, A., Moreira, A.: ‘Extended wavenumber-domain synthetic aperture radar focusing with integrated motion compensation’, IET Radar Sonar Navig., 2006, 153, pp. 301-310.

Zhang, L., Sheng, J., Xing, M., Qiao, Z., Xiong, T., Bao, Z.: ‘Wavenumber-Domain Autofocusing for Highly Squinted UAV SAR Imagery’, IEEE Sensors Journal, 2012, 12, pp. 1574-1588.

Xu, G., Xing, M., Zhang, L., Bao, Z.: ‘Robust Autofocusing Approach for Highly Squinted SAR Imagery Using the Extended Wavenumber Algorithm’, IEEE Trans. Geosci. Remote Sens., 2013, 51, pp. 5031-5046.

Carrara, W. G., Goodman, R. S. and Majewski, R. M.: ‘Spotlight Synthetic Aperture Radar: Signal Processing Algorithms’, Artech House, 1995

Cumming, I. G., Wong, F. H.: ‘Digital processing of synthetic aperture radar’, Artech House MA, USA, 2005.

Vandewal, M.; Speck, R.; Helmut: ‘Efficient and Precise Processing for Squinted Spotlight SAR through a Modified Stolt Mapping’, EURASIP Journal on Advances in Signal Processing., 2007, pp.1-7.

Published
2019-11-04
Section
Articles