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| Minimum Total Variation Autofocus Algorithm for SAR Imaging |
| Gan Rong-bing; Wang Jian-guo |
| College of Electronic Engineering, UESTC, Chengdu 610054, China |
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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 MTVA’s computation amount is nearly half of PGA’s.
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Received: 06 June 2005
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2007, Vol. 29 
