Minimum Total Variation Autofocus Algorithm for SAR Imaging

Gan Rong-bing; Wang Jian-guo

doi:10.3724/SP.J.1146.2005.00649

Volume 29 Issue 1

Jan. 2011

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Gan Rong-bing, Wang Jian-guo. Minimum Total Variation Autofocus Algorithm for SAR Imaging[J]. Journal of Electronics & Information Technology, 2007, 29(1): 12-14. doi: 10.3724/SP.J.1146.2005.00649

Citation:

Gan Rong-bing, Wang Jian-guo. Minimum Total Variation Autofocus Algorithm for SAR Imaging[J]. Journal of Electronics & Information Technology, 2007, 29(1): 12-14. doi: 10.3724/SP.J.1146.2005.00649

Gan Rong-bing, Wang Jian-guo. Minimum Total Variation Autofocus Algorithm for SAR Imaging[J]. Journal of Electronics & Information Technology, 2007, 29(1): 12-14. doi: 10.3724/SP.J.1146.2005.00649

Citation:

Gan Rong-bing, Wang Jian-guo. Minimum Total Variation Autofocus Algorithm for SAR Imaging[J]. Journal of Electronics & Information Technology, 2007, 29(1): 12-14. doi: 10.3724/SP.J.1146.2005.00649

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Minimum Total Variation Autofocus Algorithm for SAR Imaging

doi: 10.3724/SP.J.1146.2005.00649

Received Date: 2005-06-06
Rev Recd Date: 2005-10-08
Publish Date: 2007-01-19

Abstract

Abstract

Minimum Total Variation Autofocus (MTVA) algorithm for SAR imaging is studied. Firstly, the relationship between total variation of SAR image and 2nd-order phase error is analyzed. The results show that total variation is a single peak function of 2nd-order phase error. Total variation reaches minimum when zero phase error. Then total variation norm is used as performance function. Golden selection method is adopted to get focused SAR image. Finally, experimental results show that MTVA algorithm has good performance and is better than Phase Gradient Autofocus (PGA) algorithm. Study of complexity shows that MTVAs computation amount is nearly half of PGAs.

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References(1)

References

[1] Wahl D E, Eichel E H, and Ghiglia D C, et al.. Phase gradient autofocusA robust tool for high resolution SAR phase correction, IEEE Trans[J].on Aerospace and Electronic Systems.1994, 30(3):827-835 [2] Eichel P H and Jakowatz C V. Phase-gradient algorithm as an optimal estimator of the phase derivative[J].Optics Letters.1989, 14(20):1101-1103 [3] 刘月花, 荆麟角. 对比度最优自聚焦算法[J].电子与信息学报.2003, 25(1):24-30浏览 [4] 张澄波. 综合孔径雷达原理、系统分析与应用. 北京: 科学出版社, 1989: 163-177. [5] Mallat Stephane. A Wavelet Tour of Signal Processing, Second Edition. Academic Press. 1999: 24-25 [6] 《数学手册》编写组. 数学手册, 北京: 高等教育出版社, 1979: 923-925.

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