Vol. 129
Latest Volume
All Volumes
2012-06-17
Processing One-Stationary Bistatic SAR Data Using Inverse Scaled Fourier Transform
By
Progress In Electromagnetics Research, Vol. 129, 143-159, 2012
Abstract
In bistatic synthetic aperture radar (SAR) with one stationary station, two-dimensional spatial variance is a major problem which should be handled. In this paper, an Inverse Scaled Fourier Transform (ISFT) imaging algorithm to deal with this problem is proposed. The approach linearizes the two-dimensional spatiallyvariant point target reference spectrum to derive the reflectivity pattern's spectrum. Based on this spectrum, an ISFT along range direction and a frequency shift along azimuth direction are used to achieve the two-dimensional spatial variance correction. This method is efficient as it only uses phase multiplication and FFTs. Numerical simulations verified the effectiveness of the method.
Citation
Junjie Wu, Zhongyu Li, Yulin Huang, Qing Huo Liu, and Jianyu Yang, "Processing One-Stationary Bistatic SAR Data Using Inverse Scaled Fourier Transform," Progress In Electromagnetics Research, Vol. 129, 143-159, 2012.
doi:10.2528/PIER12021506
References

1. Lim, S., J. Han, S. Kim, and N. Myung, "Azimuth beam pattern synthesis for airborne SAR system optimization," Progress In Electromagnetics Research, Vol. 106, 295-309, 2010.
doi:10.2528/PIER10061901

2. Wei, S., X. Zhang, J. Shi, and G. Xiang, "Sparse reconstruction for SAR imaging based on compressed sensing," Progress In Electromagnetics Research, Vol. 109, 63-81, 2010.
doi:10.2528/PIER10080805

3. Xu, W., P. Huang, and Y. Deng, "Multi-channel SPCMB-TOPS SAR for high-resolution wide-swath imaging," Progress In Electromagnetics Research, Vol. 116, 533-551, 2011.

4. Wei, S., X. Zhang, and J. Shi, "Linear array SAR imaging via compressed sensing," Progress In Electromagnetics Research, Vol. 117, 299-319, 2011.

5. Liu, Q., W. Hong, W. Tan, and et al, "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

6. Wu, J., J. Yang, Y. Huang, Z. Liu, and H. Yang, "A new look at the point target reference spectrum for bistatic SAR," Progress In Electromagnetics Research, Vol. 119, 363-379, 2011.
doi:10.2528/PIER11050704

7. Sun, J., S. Mao, G. Wang, and W. Hong, "Polar format algorithm for spotlight bistatic SAR with arbitrary geometry configuration," Progress In Electromagnetics Research, Vol. 103, 323-338, 2010.
doi:10.2528/PIER10030703

8. Dai, C. and X. Zhang, "Omega-k algorithm for bistatic SAR with arbitrary geometry configuration," Journal of Electromagnetic Waves and Applications, Vol. 25, No. 11-12, 1564-1576, 2011.
doi:10.1163/156939311797164972

9. Wang, R., O. Loffeld, Y. Neo, H. Nies, I. Walterscheid,T. Espeter, J. Klare, and J. Ender, "Focusing bistatic SAR data in airborne/stationary configuration," IEEE Trans. Geosci. Remote Sens., Vol. 48, No. 1, 452-465, 2010.
doi:10.1109/TGRS.2009.2027700

10. 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

11. Wang, X., D. Zhu, and Z. Zhu, "An implementation of bistatic PFA using chirp scaling," Journal of Electromagnetic Waves and Applications, Vol. 5, No. 6, 745-753, 2010.
doi:10.1163/156939310791036430

12. Guo, D., H. Xu, and J. Li, "Extended wavenumber domain algorithm for highly squinted sliding spotlight SAR data processing," Progress In Electromagnetics Research, Vol. 114, 17-32, 2011.

13. Mao, X., D. Zhu, L. Ding, and Z. 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

14. Qiu, X., D. Hu, and C. Ding, "An improved NLCS algorithm with capability analysis for one-stationary BiSAR," IEEE Trans.Geosci. Remote Sens., Vol. 46, No. 10, Part 2, 3179-3186, 2008.
doi:10.1109/TGRS.2008.921569

15. Papoulis, A., Systems and Transforms with Applications in Optics, McGraw-Hill, Now York, 1968.

16. Franceschetti, G. and R. Lanari, Synthetic Aperture Radar Processing, CRC, 1999.

17. Cumming, I. G. and F. H. Wong, Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation, Artech House, 2005.

18. Qiu, X., D. Hu, and C. Ding, "Some reflections on bistatic SAR of forward-looking configuration," IEEE Geosci. Remote Sens. Letters, Vol. 5, No. 4, 735-739, 2008.
doi:10.1109/LGRS.2008.2004506