volume | PIER Journals

Abstract

Taking into account long signal propagation time, curved orbit and ``near-far-near'' slant range histories at apogee, a refined slant range model (RSRM) is presented for geosynchronous earth orbit synthetic aperture radar (GEO SAR) in this paper. Additional linear component and high order components are introduced into straight orbit assumption (SOA) model to describe relative motion during long signal propagation and curved orbit respectively. And the special slant range histories at apogee are considered through adding terms changing with the sign of Doppler rate. Then, based on RSRM under an ideal acquisition and ignoring nonideal factors (such as depolarization and attenuation effects), a refined two-dimensional nonlinear chirp scaling algorithm (RTNCSA) is proposed. Space-variant range cell migration (RCM) caused by range-variant effective velocities is corrected by refined range nonlinear chirp scaling algorithm, and the variable Doppler parameters in azimuth direction are equalized through refined azimuth nonlinear chirp scaling algorithm. Finally, RSRM is verified by 600-second direct signal received by a stationary receiver on a tall building from BeiDou navigation satellite, and RTNCSA is validated through simulated point array targets with resolution of 5 m and scene size of 150 km.

1. Tomiyasu, K., "Synthetic aperture radar in geosynchronous orbit," IEEE Antennas and Propagation Symp., Vol. 16, 42-45, 1978. Google Scholar

2. Tomiyasu, K. and J. L. Pacelli, "Synthetic aperture radar imaging from an inclined geosynchronous orbit," IEEE Trans. Geosci. Remote Sens., Vol. 21, No. 3, 324-329, 1983.
doi:10.1109/TGRS.1983.350561 Google Scholar

3. Chini, M., L. Pulvirenti, and N. Pierdicca, "Analysis and interpretation of the COSMO-SkyMed observations of the 2011 Japan Tsunami," IEEE Geosci. Remote Sens. Lett., Vol. 9, No. 3, 467-471, 2012.
doi:10.1109/LGRS.2011.2182495 Google Scholar

4. Zribi, M., F. Kotti, Z. Lili-Chabaane, et al. "Soil texture estimation over a semiarid area using TerraSAR-X radar data," IEEE Geosci. Remote Sens. Lett., Vol. 9, No. 3, 353-357, 2012.
doi:10.1109/LGRS.2011.2168379 Google Scholar

5. Wendy, E., M. Sore, M. Alina, and C. Curti, "Concepts and technologies for synthetic aperture radar from MEO and geosynchronous orbits," SPIE International Asia-Pacific Symposium, Remote Sensing of the Atmosphere, Environment and Space, 195-203, 2004. Google Scholar

6. Madsen, S. N., E. Wendy, L. D. DiDomenico, and L. John, "A geosynchronous synthetic aperture radar; for tectonic mapping, geosynchronous synthetic aperture radar; for tectonic mapping, geosynchronous synthetic aperture radar; for tectonic mapping," 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) , Vol. 1, 447-449, 2001. Google Scholar

7. Evans, T. L. and M. Costa, "Landcover classiFIcation of the lower Nhecolandia subregion of the Brazilian pantanal wetlands using ALOS/PALSAR, RADARSAT-2 and ENVISAT/ASAR imagery," Remote Sensing of Environment, Vol. 128, 118-137, 2013.
doi:10.1016/j.rse.2012.09.022 Google Scholar

8. NASA and JPL "Global earthquake satellite system: A 20-year plan to enable earthquake prediction," JPL Document, 2003.
doi:http://solidearth.jpl.nasa.gov/GESS/3123GESSRep2003.pdf Google Scholar

9. Hobbs, S. E. and D. Bruno, "Radar imaging from GEO: Chal-lenges and applications," Remote Sensing and Photogrammetry Society Annual Conference, 1-6, 2007. Google Scholar

10. Bruno, D. and S. E. Hobbs, "Radar imaging from geosynchronous orbit: Temporal decorrelation aspects," IEEE Transactions Geosci. Remote Sens., Vol. 48, No. 7, 2924-2929, 2010.
doi:10.1109/TGRS.2010.2042062 Google Scholar

11. Hobbs, S. E., "GeoSAR summary of the group design project, MSc in Astronautics and Space Engineering 2005/06," Cranfield University, 1-20, 2006. Google Scholar

12. Mao, E. K., T. Long, T. Zeng, et al. "State-of-art of Geosynchronous SAR," Signal Processing (Xinhao Chuli), Vol. 28, No. 4, 451-462, 2012. Google Scholar

13. Liu, F., C. Hu, and T. Zeng, "A novel range migration algorithm of GEO SAR echo data," Proc. IGARSS, 1-4, Jul. 2010. Google Scholar

14. Yang, W., Y. Zhu, F. Liu, C. Hu, and Z. Ding, "Modified range migration algorithm in GEO SAR system," The 8th European Conference on Synthetic Aperture Radar, 708-711, 2010. Google Scholar

15. Bao, M., Y. Liao, Z. J. Tian, et al. "Imaging algorithm for GEO SAR based on series reversion," 2011 IEEE CIE International Conference on Radar, Vol. 2, 1493-1496, 2011. Google Scholar

16. Cheng, H., F. Liu, and W. Yang, "Modification of slant range model and imaging processing in GEO SAR," Proc. IGARSS, 4679-4682, Jul. 2010. Google Scholar

17. Hu, C., T. Zeng, Y. Zhu, and Z. Ding, "The accurate resolution analysis in Geosynchronous SAR," The 8th European Conference on Synthetic Aperture Radar, 925-928, 2010. Google Scholar

18. Bao, M., M. D. Xing, and Y. C. Li, "Chirp scaling algorithm for GEO SAR based on fourth-order range equation," Electronics Letters, Vol. 48, No. 1, 41-42, 2012.
doi:10.1049/el.2011.1892 Google Scholar

19. Hu, C., Z. Liu, and T. Long, "An improved CS algorithm based on the curved trajectory in geosynchronous SAR," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 5, No. 3, 795-808, 2012.
doi:10.1109/JSTARS.2012.2188096 Google Scholar

20. Hu, C., T. Long, and Y. Tian, "An improved nonlinear chirp scaling algorithm based on curved trajectory in geosynchronous SAR," Progress In Electromagnetics Research, Vol. 135, 481-513, 2013. Google Scholar

21. Li, Z., C. Li, Z. Yu, et al. "Back projection algorithm for high resolution GEO-SAR image formation," 2011 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 336-339, 2011.
doi:10.1109/IGARSS.2011.6048967 Google Scholar

22. Tomiyasu, K., "Mitigation of rain and ice particle cross polarization at RF for dual circularly polarized waves," IEEE Transactions on Antennas and Propagation, Vol. 46, No. 9, 1379-1385, 1998.
doi:10.1109/8.719983 Google Scholar

23. Gao, Y. T., "The analysis and design of GEO SAR and the study of echo modeling," School of Information and Electronics, Beijing Institute of Technology, Beijing 2011. Google Scholar

24. Zeng, T., L. Liu, and Z. Ding, "Improved stepped-frequency SAR imaging algorithm with the range spectral-length extension Strategy," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing , Vol. 5, No. 5, 1483-1494, 2012.
doi:10.1109/JSTARS.2012.2196681 Google Scholar

25. Ding, Z, T. Long, T. Zeng, and Y. Zhu, "Deramp range migration processing for spaceborne spotlight synthetic aperture radar," Advances in Space Research, Vol. 41, No. 11, 1822-1826, 2008.
doi:10.1016/j.asr.2008.01.009 Google Scholar

26. Davidson, G. W., I. G. Cumming, and M. R. Ito, "A chirp scaling approach for processing squint mode SAR data," IEEE Trans. Aerosp. Electron. Syst., Vol. 32, No. 1, 121-133, 1996.
doi:10.1109/7.481254 Google Scholar

27. Wong, F. W. and T. S. Yeo, "New applications of nonlinear chirp scaling in SAR data processing," IEEE Trans. Geosci. Remote Sens., Vol. 39, No. 5, 946-953, 2001.
doi:10.1109/36.921412 Google Scholar

28. Sun, G., X. Jiang, M. Xing, et al. "Focus improvement of highly squinted data based on azimuth nonlinear scaling," IEEE Trans. Geosci. Remote Sens., Vol. 49, No. 6, 2308-2322, 2011.
doi:10.1109/TGRS.2010.2102040 Google Scholar

29. An, D., X. Huang, T. Jin, et al. "Extended nonlinear chirp scaling algorithm for high-resolution highly squint SAR data focusing," IEEE Trans. Geosci. Remote Sens., Vol. 50, No. 9, 3595-3609, 2012.
doi:10.1109/TGRS.2012.2183606 Google Scholar

30. Liu, F., "Image formation and change detection based on space-surface BiSAR systems," School of Information and Electronics, Beijing Institute of Technology, 2012. Google Scholar

31. Eldhuset, K., "A new fourth-order processing algorithm for spaceborne SAR," IEEE Trans. Aerosp. Electron. Syst., Vol. 34, No. 3, 824-835, 1998.
doi:10.1109/7.705890 Google Scholar

Dr. Tao Zeng

Dr. Wenfu Yang

Professor Zegang Ding

Dr. Dacheng Liu

Dr. Teng Long