2015-09-24
A Hybrid Multichannel Processing Method for Spaceborne Hybrid Phased-MIMO SAR with Application to Multi-Direction Swath Imaging
By
Progress In Electromagnetics Research B, Vol. 63, 233-247, 2015
Abstract
This paper proposes a hybrid multichannel processing method for spaceborne Hybrid Phased-MIMO SAR (HPMSAR) that can achieve different applications of multi-direction swath imaging on the same platform. The method is optimal because it is a combination of two-dimension (2-D) advanced digital beamforming (DBF) technology and multichannel pre-filter technology for high-resolution wide-swath SAR signal processing. Multichannel signal processing technology for future spaceborne SAR will no longer be single and this combination may be the best choice. The proposed method could avoid spectrum aliasing caused by low pulse repetition frequency (PRF), separate the overlapped echoes caused by different subpulses corresponding to multi-direction swathes and remove the range ambiguity and azimuth ambiguity deeply. At first, we build the signal model of HPMSAR system. Furthermore, the pre-filter design is presented by using matrix inversion method. Then, we address different methods applied to 2-D DBF and propose the advanced linearly constrained minimum variance (LCMV) method. Image results on simulated distributed targets validate the proposed hybrid multichannel processing method.
Citation
Lele Zhang, and Dianren Chen, "A Hybrid Multichannel Processing Method for Spaceborne Hybrid Phased-MIMO SAR with Application to Multi-Direction Swath Imaging," Progress In Electromagnetics Research B, Vol. 63, 233-247, 2015.
doi:10.2528/PIERB15072705
References

1. Krieger, G., N. Gebert, and A. Moreira, "Unambiguous SAR signal reconstruction from nonuniform displaced phase center sampling," IEEE Geosci. Remote Sens. Lett., Vol. 1, No. 4, 260-264, 2004.
doi:10.1109/LGRS.2004.832700        Google Scholar

2. Krieger, G., N. Gebert, and A. Moreira, "Multidimensional radar waveforms," Geoscience and Remote Sensing Symposium, 4937-4941, Barcelona, 2007.        Google Scholar

3. Krieger, G., N. Gebert, and A. Moreira, "Multidimensional waveform encoding: A new digital beamforming technique for synthetic aperture radar remote sensing," IEEE Transactions on Geoscience and Remote Sensing, Vol. 46, No. 1, 31-46, 2008.
doi:10.1109/TGRS.2007.905974        Google Scholar

4. De Zan, F. and A. M. Guarnieri, "TOPSAR: Terrain observation by progressive scans," IEEE Transactions on Geoscience and Remote Sensing, Vol. 44, No. 9, 2352-2360, 2006.
doi:10.1109/TGRS.2006.873853        Google Scholar

5. Meta, A., J. Mittermayer, P. Prats, et al. "TOPS imaging with TerraSAR-X: Mode design and performance analysis," IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, No. 2, 759-769, 2010.
doi:10.1109/TGRS.2009.2026743        Google Scholar

6. Gebert, N., G. Krieger, and A. Moreira, "Multichannel azimuth processing in scanSAR and TOPS mode operation," IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, No. 7, 2994-3008, 2010.
doi:10.1109/TGRS.2010.2041356        Google Scholar

7. Wollstadt, S., P. Prats-Iraola, P. Lopez-Dekker, et al. "Bidirectional SAR imaging mode," IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, No. 1, 601-614, 2013.
doi:10.1109/TGRS.2012.2202669        Google Scholar

8. Suchandt, S., H. Runge, H. Breit, U. Steinbrecher, A. Kotenkov, and U. Balss, "Automatic extraction of tra±c °ows using TerraSAR-X alongtrack interferometry," IEEE Transactions on Geoscience and Remote Sensing, Vol. 48, No. 2, 807-819, 2010.
doi:10.1109/TGRS.2009.2037919        Google Scholar

9. Perissin, D. and A. Ferretti, "Urban-target recognition by means of repeated spaceborne SAR images," IEEE Transactions on Geoscience and Remote Sensing, Vol. 45, No. 12, 4043-4058, 2007.
doi:10.1109/TGRS.2007.906092        Google Scholar

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

11. Zhang, L. and D. Chen, "Digital beamforming on receive in elevation for spaceborne hybrid phased-MIMO SAR," Progress In Electromagnetics Research M, Vol. 40, 153-166, 2014.
doi:10.2528/PIERM14111303        Google Scholar

12. Hassanien, A. and S. A. Vorobyov, "Phased-MIMO radar: A tradeo® between phased-array and MIMO radars," IEEE Transactions on Signal Processing, Vol. 58, No. 6, 1-33, 2010.
doi:10.1109/TSP.2010.2043976        Google Scholar

13. Fuhrmann, D. R., J. Paul Browning, and M. Rangaswamy, "Signaling strategies for the hybrid MIMO phased-array radar," IEEE Journal of Selected Topics in Signal Processing, Vol. 4, No. 1, 66-78, 2010.
doi:10.1109/JSTSP.2009.2038968        Google Scholar

14. Ludwig, M., C. H. Buck, F. Coromina, and M. Suess, "Status and trends for space-borne phased array radar (INVITED)," IEEE MTT-S International Microwave Symposium Digest, 2005.        Google Scholar

15. Huber, S., M. Younis, A. Patyuchenko, et al. "Digital beam forming concepts with application to spaceborne reflector SAR systems," International Radar Symposium (IRS), 1-4, 2010.        Google Scholar

16. Feng, F., S. Li, W. Yu, P. Huang, and W. Xu, "Echo separation in multidimensional waveform encoding SAR remote sensing using an advanced null-steering beamformer," IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No. 10, 4157-4171, 2012.
doi:10.1109/TGRS.2012.2187905        Google Scholar

17. Krieger, G., M. Younis, S. Huber, et al. "Digital beamforming and MIMO SAR: Review and new concepts," Synthetic Aperture Radar, 11-14, 2012.        Google Scholar

18. Younis, M., S. Huber, A. Patyuchenko, et al. "Performance comparison of reflector- and planar-antenna based digital beam-forming SAR," International Journal of Antennas and Propagation, 1-13, 2009.
doi:10.1155/2009/614931        Google Scholar

19. Bucci, O. M., T. Isernia, and A. F. Morabito, "An effective deterministic procedure for the synthesis of shaped beams by means of uniform-amplitude linear sparse arrays," IEEE Transactions on Antennas and Propagation, Vol. 61, No. 1, 169-175, 2013.
doi:10.1109/TAP.2012.2219844        Google Scholar

20. Gebert, N., G. Krieger, and A. Moreir, "Digital beamforming on receive: Techniques and optimization strategies for high-resolution wide-swath SAR imaging," IEEE Transactions on Aerospace and Electronic System, Vol. 45, No. 2, 564-592, 2009.
doi:10.1109/TAES.2009.5089542        Google Scholar

21. Brown, J., "Multi-channel sampling of low-pass signals," IEEE Trans. Circuits Syst., Vol. 28, No. 2, 101-106, 1981.
doi:10.1109/TCS.1981.1084954        Google Scholar

22. Trees, H. L. V., Optimum Array Processing, Wiley, 2002.
doi:10.1002/0471221104

23. Capon, J., "High-resolution frequency-wavenumber spectrum analysis," Proceedings of the IEEE, Vol. 57, No. 8, 1408-1418, 1969.
doi:10.1109/PROC.1969.7278        Google Scholar

24. Tseng, C.-Y. and L. J. Griffiths, "A simple algorithm to achieve desired patterns for arbitrary arrays," IEEE Transactions on Signal Processing, Vol. 40, No. 11, 2737-2746, 1992.
doi:10.1109/78.165660        Google Scholar

25. Wang, F., R. Yang, and C. Frank, "A new algorithm for array pattern synthesis using the recursive least squares method," IEEE Signal Processing Letters, Vol. 10, No. 8, 235-238, 2003.
doi:10.1109/LSP.2003.814398        Google Scholar

26. Tseng, C.-Y., "Minimum variance beamforming with phase-independent derivative constraints," IEEE Transactions on Antennas and Propagation, Vol. 40, No. 3, 285-294, 1992.
doi:10.1109/8.135471        Google Scholar

27. Carlson, B. D., "Covariance matrix estimation errors and diagonal loading in adaptive arrays," IEEE Transactions on Aerospace and Electronic Systems, Vol. 24, No. 4, 397-401, 1988.
doi:10.1109/7.7181        Google Scholar