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| Citation: | Lin Yuchuan, Zhang Jianyun, Wu Yongjun, Zhou Qingsong. Matrix Inversion Method for Azimuth Reconstruction in Bistatic Spaceborne High-Resolution Wide-Swath SAR System[J]. Journal of Radars, 2017, 6(4): 388-396. doi: 10.12000/JR17060
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Matrix Inversion Method for Azimuth Reconstruction in Bistatic Spaceborne High-Resolution Wide-Swath SAR System
DOI: 10.12000/JR17060 CSTR: 32380.14.JR17060
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Abstract
In bistatic spaceborne High-Resolution Wide-Swath SAR systems (HRWS-SAR), the azimuth reconstruction to obtain a uniform sampling signal or Doppler spectrum is a crucial step in image processing because azimuth signals are generally of non-uniform sampling type. In this study, the variant transmitting distance to receiving distance radio is approximated to be a constant, the equivalence between the bistatic and monostatic SAR azimuth interchannel transfer functions is deduced, and the azimuth signal model in spaceborne HRWS-SAR with general bistatic configuration is established. Furthermore, the matrix inversion algorithm to reconstruct the azimuth signal is proposed; in addition, to measure the reconstruction performance, the formulae for the signal noise ratio scaling factor and the azimuth ambiguity signal ratio are provided. The azimuth reconstruction is simulated in several spaceborne HRWS-SAR systems with typical bistatic configuration, and the results show that the azimuth Doppler spectrum can be correctly reconstructed via the matrix inversion algorithm when the azimuth sampling is conducted without coinciding samples. -
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References
[1] Zink M, Bachmann M, Brautigam B, et al. TanDEM-X: The new global DEM takes shape[J]. IEEE Geoscience and Remote Sensing Magazine, 2014, 2(2): 8–23. DOI: 10.1109/MGRS.2014.2318895[2] Bueso-Bello J L, Prats-Iraola P, Martone M, et al.. Performance evaluation of the TanDEM-X quad polarization acquisitions in the science phase[C]. Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar, Hamburg, 2016: 627–632.[3] Moreira A, Krieger G, Hajnsek I, et al. Tandem-L: A highly innovative bistatic SAR mission for global observation of dynamic processes on the earth’s surface[J]. IEEE Geoscience and Remote Sensing Magazine, 2015, 3(2): 8–23. DOI: 10.1109/MGRS.2015.2437353[4] Huber S, Villano M, Younis M, et al.. Tandem-L: Design concepts for a next-generation spaceborne SAR system[C]. Proceedings of EUSAR 2016: 11th European Conference on Synthetic Aperture Radar, Hamburg, 2016: 1–5.[5] 范强, 吕晓德, 张平, 等. 星载SAR DPCMAB技术的方位向非均匀采样研究[J]. 电子与信息学报, 2006, 28(1): 31–35Fan Qiang, Lü Xiao-de, Zhang Ping, et al. Study of nonuniform azimuth sampling of DPCMAB technique in spaceborne SAR[J]. Journal of Electronics&Information Technology, 2006, 28(1): 31–35[6] Currie A and Brown M A. Wide-swath SAR[J]. IEE Proceedings F-Radar and Signal Processing, 1992, 139(2): 122–135. DOI: 10.1049/ip-f-2.1992.0016[7] Yen J. On nonuniform sampling of bandwidth-limited signals[J]. IRE Transactions on Circuit Theory, 1956, 3(4): 251–257. DOI: 10.1109/TCT.1956.1086325[8] Gebert N, Krieger G, and Moreira A. Digital beamforming on receive: Techniques and optimization strategies for high-resolution wide-swath SAR imaging[J]. IEEE Transactions on Aerospace and Electronic Systems, 2009, 45(2): 564–592. DOI: 10.1109/TAES.2009.5089542[9] Krieger G, Gebert N, and Moreira A. Unambiguous SAR signal reconstruction from nonuniform displaced phase center sampling[J]. IEEE Geoscience and Remote Sensing Letters, 2004, 1(4): 260–264. DOI: 10.1109/LGRS.2004.832700[10] Cheng Pu, Wan Jian-wei, Xin Qin, et al. An improved azimuth reconstruction method for multichannel SAR using vandermonde matrix[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(1): 67–71. DOI: 10.1109/LGRS.2016.2626309[11] Liu Bao-chang and He Yi-jun. Improved DBF algorithm for multichannel high-resolution wide-swath SAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(2): 1209–1225. DOI: 10.1109/TGRS.2015.2476496[12] Liu Na, Wang R, Deng Yun-kai, et al. Modified multichannel reconstruction method of SAR with highly nonuniform spatial sampling[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017, 10(2): 617–627. DOI: 10.1109/JSTARS.2016.2630048[13] Wang Ming-jian, Yu Wei-dong, Wang R, et al. Improved azimuth multichannel SAR imaging for configurations with redundant measurements[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(8): 1610–1614. DOI: 10.1109/LGRS.2015.2415511[14] Cerutti-Maori D, Sikaneta I, Klare J, et al. MIMO SAR processing for multichannel high-resolution wide-swath radars[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(8): 5034–5055. DOI: 10.1109/TGRS.2013.2286520[15] Sikaneta I, Gierull C H, and Cerutti-Maori D. Optimum signal processing for multichannel SAR: With application to high-resolution wide-swath imaging[J]. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(10): 6095–6109. DOI: 10.1109/TGRS.2013.2294940[16] Sikaneta I, Cerutti-Maori D, Klare J, et al.. Comparison of multi-channel high-resolution wide-swath SAR processing methods[C]. Proceedings of 2014 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) 2014, Quebec, 2014: 3834–3837. DOI: 10.1109/IGARSS.2014.6947320.[17] Zhao Shuo, Wang R, Deng Yun-kai, et al. Modifications on multichannel reconstruction algorithm for SAR processing based on periodic nonuniform sampling theory and nonuniform fast Fourier transform[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(11): 4998–5006. DOI: 10.1109/JSTARS.2015.2421303 -
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- Figure 1. Bistatic configuration of bistatic spaceborne HRWS-SAR
- Figure 2. Azimuth signal generating model in monostatic spaceborne HRWS-SAR
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Figure 3.
$C\left( t \right)$ $\varepsilon \! \left( t \right)$ - Figure 4. Unreconstructed and reconstructed azimuth signal Doppler spectrum for bistatic configuration Ⅰ
- Figure 5. Imaging for reconstructed azimuth signal Doppler spectrum
- Figure 6. Azimuth signal reconstruction performance curve