A modified range migration algorithm for FMCW SAR signal processing

Yake Li; Siu O’Young

doi:10.24294/jgc.v4i1.1312

A modified range migration algorithm for FMCW SAR signal processing

Yake Li, Siu O’Young

Article ID: 1312
Vol 4, Issue 1, 2021

VIEWS - 2554 (Abstract) 1390 (PDF)

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 the same 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 is used to verify the performance of the proposed RMA.

Keywords

FMCW SAR; Range Migration Algorithm

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References

1. Edrich M. Design overview and flight test results of the miniaturised SAR sensor MISAR. First European Radar Conference 2004: 205–208.

2. Edrich M. Ultra-lightweight synthetic aperture radar based on a 35 GHz FMCW sensor concept and online raw data transmission. IEE Proceedings - Radar, and Sonar and Navigation 2006; 153(2): 129–134.

3. Berizzi F, Martorella M, Cacciamano A, et al. A contrast-based algorithm for synthetic range-profile motion compensation. IEEE Transactions on Geoscience and Remote Sensing 2008; 46(10): 3053–3062.

4. Essen H, Stanko S, Sommer R, et al. Millimetre wave SAR for UAV operation. Asia-Pacific Microwave Conference 2011:963–966.

5. Max F, Wahlen A, Peter W, et al. Processing of MIRANDA 35 FMCW-SAR data using a time-domain algorithm. EUSAR, Berlin, Germany 2014.

6. Rossum WV, Otten M, Dorp PV. Multichannel FMCW SAR, EUSAR, Nuremberg, Germany 2012: 279–282.

7. Edwards M, Madsen D, Stringham C, et al. microASAR: A small, robust LFM-CW SAR for operation on UAVs and small aircraft. IGASS 2008: 514–517.

8. Wit JJM. de, Meta A, Hoogeboom P. Modified range-doppler processing for FM-CW synthetic aperture radar., IEEE Geoscience and Remote Sensing Letters, 2006; 3(1): 83–87.

9. Meta A, Hoogeboom P, Ligthart LP. Signal processing for FMCW SAR. IEEE Transctions on Geoscience and Remote Sensing 2007; 45(11): 3519–3532.

10. Zaugg EC, Long D. Generalized frequency scaling and backprojection for LFM-CW SAR processing. IEEE Transaction. on Geoscience and Remote Sensing 2015; 53(7): 3600–3614.

11. Wang R, Loffeld O, Nies H, et al. Focus FMCW SAR data using the wavenumber domain algorithm. IEEE Transaction Geoscience Remote Sensing 2010; 48(4): 2109–2118.

12. Cafforio C, Prati C, Rocca F. SAR data focusing using seismic migration techniques. IEEE Transaction on Aerospace and Electronic Systems 1991; 27,(2): 194–207.

13. Cafforio C, Prati C, Rocca F. Full resolution focusing of Seasat SAR images in the frequency-wave number domain. International Journal of Remote Sensing 1991; 12(3): 491–510.

14. Reigber A, Alivizatos E, Potsis A, et al. Extended wavenumber-domain synthetic aperture radar focusing with integrated motion compensation. IEE Proceedigns-Radar, Sonar and Navigation 2006; 153(3): 301–310.

15. Zhang L, Sheng J, Xing M, et al. Wavenumber-domain autofocusing for highly squinted UAV SAR imagery. IEEE Sensors Journal 2012; 12(5): 1574–1588.

16. Xu G, Xing M, Zhang L, et al. Robust Autofocusing Approach for Highly Squinted SAR Imagery Using the Extended Wavenumber Algorithm, IEEE Transaction on Geoscience and Remote Sensing 2013; 51(10): 5031–5046.

17. Carrara WG, Goodman RS, Majewski RM. Spotlight synthetic aperture radar: signal processing algorithms. Artech House Remote Sensing Library, 1995.

18. Cumming IG, Wong FH. Digital processing of synthetic aperture radar. Artech House MA, USA, 2005.

19. 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: 1–7.

DOI: https://doi.org/10.24294/jgc.v4i1.1312