Fast Factorized Back-Projection (FFBP) is originally developed for Ultra-WideBand (UWB) Synthetic Aperture Radar (SAR), and it shows great success for spotlight SAR signal processing. However, its implementation is not straightforward for stripmap SAR due to the limitation of integration aperture and angular upsampling. To investigate the applicability of FFBP to stripmap SAR, this paper describes a reasonable implementation of overlapped-image method based on integration aperture and angular wavenumber bandwidth. This approach retains high efficiency of the original FFBP. Finally, the simulated squinted SAR data are utilized to verify the effectiveness of the proposed method.
Cumming I G and Wong F H. Digital Signal Processing of Synthetic Aperture Radar Data: Algorithms and Implementation[M]. Boston, MA: Artech House, 2005: 5-7.
[2]
Shippey G, Banks S, and Pihl J. SAS image reconstruction using fast polar back projection: comparisons with fast factored back projection and Fourier-domain imaging[C]. IEEE Oceans 2005-Europe, Brest, France, 2005: 96-101.
[3]
Jakowatz C V and Doren N. Comparison of polar formatting and back-projection algorithms for spotlight-mode SAR image formation[J]. SPIE, 2006, Vol. 6237: 62370H-1- 62370H-7.
Hu Jian-min, Wang Yan-fei, and Li He-ping. Channel phase error estimation and compensation for ultra-high resolution SAR based on echo data[J]. Journal of Electronics & Information Technology, 2012, 34(7): 1602-1608.
Wu Ming-yu, Yang Tao-li, Wu Shun-jun, et al.. Ground moving target indication for spaceborne multi-channel high resolution wide swath SAR system[J]. Journal of Electronics & Information Technology, 2014, 36(2): 441-444.
Ran Jin-he, Zhang Jian-yun, and Wu Yong-jun. Two-step imaging algorithm for airborne parallel high squint SAR[J]. Journal of Electronics & Information Technology, 2014, 36(5): 1036-1043.
Pan Zhou-hao, Li Dao-jing, Liu Bo, et al.. Processing of the airborne InSAR data based on the BP algorithm and the time-varying baseline[J]. Journal of Electronics & Information Technology, 2014, 36(7): 1585-1591.
[8]
Gorham L A, Majumder U K, Buxa P et al.. Implementation and analysis of a fast backprojection algorithm[J]. SPIE, 2006, Vol. 6237: 62370G-1-62370G-8.
[9]
Yegulalp A F. Fast backprojection algorithm radar for synthetic aperture radar[C]. Proceedings of IEEE Radar Conference, Waltham, MA, USA, 1999: 60-65.
[10]
Ulander L M H, Hellsten H, and Stenstr?m G. Synthetic-aperture radar processing using fast factorized back-projection[J]. IEEE Transactions on Aerospace and Electronic Systems, 2003, 39(3): 760-776.
[11]
Carrara W G, Goodman R S, and Majewski R M. Spotlight Synthetic Aperture Radar: Signal Processing Algorithm[M]. Boston, MA: Artech House, 1995.
[12]
Ulander L M H, Fr?lind P O, and Mursin D. Fast factorized backprojection algorithm for processing microwave SAR data[C]. Proceedings of 6th European Conference on Synthetic Aperture Radar, Dresden, Germany, 2006: 577-580.
[13]
Moon K and Long D G. A new factorized backprojection algorithm for stripmap synthetic aperture radar[J]. Positioning, 2013, 4(1): 42-56.
[14]
Fr?lind P O and Ulander L M H. Evaluation of angular interpolation kernels in fast back-projection SAR processing[J]. IEE Proceedings-Radar, Sonar and Navigation, 2006, 153(3): 243-249.
[15]
Zhang Lei, Li Hao-lin, and Qiao Zhi-jun. A fast BP algorithm with wavenumber spectrum fusion for high-resolution spotlight SAR imaging[J]. IEEE Geoscience and Remote Sensing Letters, 2014, 11(9): 1460-1464.
Li Hao-lin, Zhang Lei, and Yang Lei. A novel fast factorized back-projection algorithm for synthetic aperture radar imaging[J]. Journal of Electronics & Information Technology, 2013, 35(6): 1435-1441.
