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Journal Radioengineering №7 for 2022 г.
Article in number:
Motion compensation and range cell migration correction in track signal processing in continuous wave synthetic aperture radar
Type of article: overview article
DOI: https://doi.org/10.18127/j00338486-202207-18
UDC: 621.396.96
Authors:

K.V. Kamenskiy1

1 Moscow Aviation Institute (National Research University) (Moscow, Russia)

Abstract:

Background. The backprojection method is used to obtain radar images of superior quality in synthetic aperture radar signal processing, however, this method makes high demands on computational performance. Range-Doppler algorithm can be used as a faster alternative which by using the same track signal model makes assumptions that allow to simplify processing for the computer in exchange for possible worsening of radar image quality, including those caused by track instabilities influence. This algorithm requires extensions that bring obtained radar image quality closer to the quality of radar images got by the backprojection method. Radar carrier motion compensation methods and range cell migration correction methods belong to such extentions.

Aim. The aim is to develop solutions for two important operations of the Range-Doppler algorithm, namely, radar carrier motion compensation and range cell migration correction. The track signal processed is assumed to belong to a side-looking stripmap continuous wave radar with non-symmetrical periodic linear-frequency modulation.

Results. The track signal model fundamental for the Range-Doppler algorithm was examined. The Range-Doppler algorithm was described with this model in general terms, as well as the point of its primary operations was explained. A new method of motion compensation and a new algorithm for range cell migration correction were developed. Numerical experiments were conducted where the developed methods were compared to the methods known before. Advantages and disadvantages of the developed methods were identified.

Practical value. The developed motion compensation and range cell migration correction methods can be used in Range-Doppler algorithm implementations for synthetic aperture radars placed on board of unmanned aerial vehicles.

Pages: 121-141
For citation

Kamenskiy K.V. Motion compensation and range cell migration correction in track signal processing in continuous wave synthetic
aperture radar. Radiotekhnika. 2022. V. 86. № 7. P. 121−141. DOI: https://doi.org/10.18127/j00338486-202207-19 (In Russian)

References
  1. Kuprjashkin I.F., Lihachev V.P., Rjazancev L.B. Kratkij opyt sozdanija i pervye rezul'taty prakticheskoj s’jomki poverhnosti malogabaritnoj RLS s sintezirovaniem apertury antenny s borta mul'tikoptera. Zhurnal radiojelektroniki [jelektronnyj zhurnal]. 2019. № 4. Rezhim dostupa: http://jre.cplire.ru/jre/apr19/12/text.pdf. DOI: 10.30898/1684-1719.2019.4.12 (In Russian).
  2. Svedin J., Bernland A., Gustafsson A., Claar E., Luong J. Small UAV-based SAR system using low-cost radar, position, and attitude sensors with onboard imaging capability. International Journal of Microwave and Wireless Technologies. 2021. № 13. Р. 602–613. DOI: 10.1017/S1759078721000416.
  3. Kondratenkov G.S., Frolov A.Ju. Radiovidenie. Radiolokacionnye sistemy distancionnogo zondirovanija Zemli. M.: Radiotehnika. 2005. 368 s. (In Russian).
  4. Duersch M.I. Backprojection for Synthetic Aperture Radar. All Theses and Dissertations. 2013. 4060. https://scholarsarchi-ve.byu.edu/etd/4060.
  5. Cumming G., Wong F. Digital Signal Processing of Synthetic Aperture Radar data: Algorithms and Implementation. Artech House. 2005. 660 p.
  6. Navneet S., Ashish Roy, Bhattacharya C. Image Generation Algorithms for FMCW-SAR at X-Band. 9-th International Radar Symposium (IRSI-13). India. Bangalore. 2013.
  7. Wang G., Zhang M., Huang Y., Zhang, L., Wang F. Robust Two-Dimensional Spatial-Variant Map-Drift Algorithm for UAV SAR Autofocusing. Remote Sens. 2019. № 11. Р. 340. https://doi.org/10.3390/rs11030340.
  8. Kirk J.C. Motion Compensation for Synthetic Aperture Radar. IEEE Transactions on Aerospace and Electronic Systems. May 1975.
    V. AES-11. № 3. Р. 338-348. DOI: 10.1109/TAES.1975.308083.
  9. Fornaro G., Franceschetti G., Perna S. On center-beam approximation in SAR motion compensation. IEEE Geoscience and Remote Sensing Letters. April 2006. V. 3. № 2. Р. 276-280. DOI: 10.1109/LGRS.2005.863391.
  10. Zaugg E.C., Long D.G. Generalized SAR Processing and Motion Compensation. 2008.
  11. Zaugg E.C., Long D.G. Theory and Application of Motion Compensation for LFM-CW SAR. IEEE Transactions on Geoscience and Remote Sensing. Oct. 2008. V. 46. № 10. Р. 2990-2998. DOI: 10.1109/TGRS.2008.921958.
  12. Zaugg E.C. Generalized Image Formation for Pulsed and LFM-CW Synthetic Aperture Radar. Theses and Dissertations. 2010. 2489. https://scholarsarchive.byu.edu/etd/2489
  13. Madsen S.N. Motion compensation for ultra wide band SAR. IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217). 2001. V. 3. Р. 1436–1438.
    DOI: 10.1109/IGARSS.2001.976870.
  14. Zaugg E.C., Long D.G., Wilson M.L. Improved SAR Motion Compensation without Interpolation. 7th European Conference on Synthetic Aperture Radar. 2008. Р. 1-4.
  15. Gaowei Jia, Wenge Chang, Xiangyang Li, Zhiyong Zhao. A Brief Analysis of the Motion Compensation for FMCW SAR. SPACOMM 2013. The Fifth International Conference on Advances in Satellite and Space Communications. IARIA. 2013. Р. 52–57. ISSN: 2308-4480. ISBN: 978-1-61208-264-6.
  16. Ribalta A. One-step Motion Compensation Algorithm for squinted SAR. IEEE International Geoscience and Remote Sensing Symposium (IGARSS). 2016. Р. 1154-1157. DOI: 10.1109/IGARSS.2016.7729292.
  17. Moudgalya A., Morris P.J., Giriraja C.V. Motion Compensation on Range Doppler Algorithm for Airborne SAR. International Conference on Advances in Computing, Communications and Informatics (ICACCI). 2018. Р. 1303-1306. DOI: 10.1109/ICACCI.2018.8554378.
  18. Zhuang, Long, Xu, Daobao. High-precision motion compensation for very-high-resolution SAR imaging. The Journal of Engineering. 2019. DOI: 10.1049/joe.2019.0321.
  19. Xing M., Jiang X., Wu R., Zhou F., Bao Z. Motion Compensation for UAV SAR Based on Raw Radar Data. IEEE Transactions on Geoscience and Remote Sensing. Aug. 2009. V. 47. № 8. Р. 2870-2883. DOI: 10.1109/TGRS.2009.2015657.
  20. Zhang L., Qiao Z., Xing M.-d., Yang L., Bao Z. A Robust Motion Compensation Approach for UAV SAR Imagery. IEEE Transactions on Geoscience and Remote Sensing. Aug. 2012. V. 50. № 8. Р. 3202-3218. DOI: 10.1109/TGRS.2011.2180392.
Date of receipt: 27.04.2022
Approved after review: 13.05.2022
Accepted for publication: 05.07.2022