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Progress In Electromagnetics Research
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EFFICIENT GEOSYNCHRONOUS CIRCULAR SAR RAW DATA SIMULATION OF EXTENDED 3-D SCENES

By Q. Liu, W. Hong, W. Tan, and Y. Wu

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Abstract:
Geosynchronous Circular Synthetic Aperture Radar (GeoCSAR) has the Circular SAR configuration and undergoes a near-ellipse geosynchronous track rather a ``8''-like track of conventional GeoSAR. It could produce three dimensional (3-D) images of extended Earth scenes. GeoCSAR raw data simulator is of vital for predicting system performance, developing suitable data processing algorithms, etc.. It should include degrading conditions such as motion instability, angular deviations and orbit perturbations in order to approach the real situation. The common generation algorithm of raw data in time domain is precise but time-consuming for extended 3-D scene. In this paper, a novel raw data simulation algorithm based on inverse Improved Polar Format Algorithm (IPFA) for GeoCSAR was proposed, which possessed both the advantages of precision of time domain simulator and efficiency of frequency domain simulator. Implementation details were presented, and several simulation results were provided and analyzed to validate the algorithm.

Citation:
Q. Liu, W. Hong, W. Tan, and Y. Wu, "Efficient geosynchronous circular SAR raw data simulation of extended 3-d scenes," Progress In Electromagnetics Research, Vol. 127, 335-350, 2012.
doi:10.2528/PIER12030306
http://www.jpier.org/pier/pier.php?paper=12030306

References:
1. Tomiyasu, K. and J. 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

2. Long, T., X. Dong, C. Hu, and T. Zeng, "A new method of zero-doppler centroid control in GEOSAR," IEEE Geosci. Remote Sens. Lett., Vol. 8, No. 3, 512-516, 2011.
doi:10.1109/LGRS.2010.2089969

3. Liu, Q., W. Hong, W.-X. Tan, Y. Lin, Y.-P. Wang, and Y.-R. Wu, "An improved polar format algorithm with performance analysis for geosynchronous circular SAR 2D imaging," Progress In Electromagnetics Research, Vol. 119, 155-170, 2011.
doi:10.2528/PIER11060503

4. Zhao, Y.-W., M. Zhang, and H. Chen, "An effcient ocean SAR raw signal simulation by employing fast fourier transform," Journal of Electromagnetic Waves and Applications, Vol. 24, No. 16, 2273-2284, 2010.
doi:10.1163/156939310793699064

5. Koo, V. C., C. S. Lim, and Y. K. Chan, "iSim --- An integrated SAR product simulator for system designers and researchers," Journal of Electromagnetic Waves and Applications, Vol. 21, No. 3, 313-328, 2007.
doi:10.1163/156939307779367422

6. Mori, A. and F. De Vita, "A time-domain raw signal simulator for interferometric SAR," IEEE Trans. Geosci. Remote Sens, Vol. 42, No. 9, 1811-1817, 2004.
doi:10.1109/TGRS.2004.832242

7. Smolarczyk, M., "Radar signal simulator for SAR algorithms test," Proc. IRS, 509-515, Dresden, Germany,2003.

8. Khwaja, A. S., L. Ferro-Famil, and E. Pottier, "Effcient SAR raw data generation for anisotropic urban scenes based on inverse processing," IEEE Geosci. Remote Sens. Lett., Vol. 6, No. 4, 757-761, 2009.
doi:10.1109/LGRS.2009.2024559

9. Qiu, X.-L., D.-H. Hu, L.-J. Zhou, and C.-B. Ding, "A bistatic SAR raw data simulator based on inverse !-k algorithm," IEEE Trans. Geosci. Remote Sens., Vol. 48, No. 3, 1540-1547, 2010.
doi:10.1109/TGRS.2009.2032776

10. Cimmino, S., G. Franceschetti, and A. Iodice, "Effcient spotlight SAR raw signal simulation of extended scenes," IEEE Trans Geosci. Remote Sens., Vol. 41, No. 10, 2329-2337, 2003.
doi:10.1109/TGRS.2003.815239

11. Ponce, O., P. Prats, M. Rodriguez-Cassola, R. Scheiber, and A. Reigber, "Processing of circular SAR trajectories with fast factorized back-projection," Proc. IGARSS, 3692-3695, Vancouver, Canada,2011.

12. Tan, W.-X., W. Hong, Y.-P. Wang, and Y.-R. Wu, "A novel spherical-wave three-dimensional imaging algorithm for microwave cylindrical scanning geometries," Progress In Electromagnetics Research, Vol. 111, 43-70, 2011.
doi:10.2528/PIER10100307

13. Yu, L. and Y. Zhang, "A 3D target imaging algorithm based on two-pass circular SAR observations," Progress In Electromagnetics Research, Vol. 122, 341-360, 2012.
doi:10.2528/PIER11101901

14. Zhang, M., Y.-W. Zhao, H. Chen, and W.-Q. Jiang, "SAR imaging simulation for composite model of ship on dynamic ocean scene," Progress In Electromagnetics Research, Vol. 113, 395-412, 2011.
doi:10.2528/PIER11071501

15. Chang, Y.-L., C.-Y. Chiang, and K.-S. Chen, "SAR image simulation with application to target recognition," Progress In Electromagnetics Research, Vol. 119, 35-57, 2011.
doi:10.2528/PIER11061507

16. Sun, J.-P., S.-Y. Mao, G.-H. Wang, and W. Hong, "Extended exact transfer function algorithm for bistatic SAR of translational invariant case," Progress In Electromagnetics Research, Vol. 99, 89-108, 2009.
doi:10.2528/PIER09091203

17. Nie, X., D.-Y. Zhu, and Z.-D. Zhu, "Application of synthetic bandwidth approach in SAR polar format algorithm using the deramp technique," Progress In Electromagnetics Research, Vol. 80, 447-460, 2008.
doi:10.2528/PIER07121409

18. Mao, X.-H., D.-Y. Zhu, L. Ding, and Z.-D. Zhu, "Comparative study of RMA and PFA on their responses to moving target," Progress In Electromagnetics Research, Vol. 110, 103-124, 2010.
doi:10.2528/PIER10090607


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