An Improved Phase Adjustment by Contrast EnhancementAlgorithm for Airborne SAR

Xue  Guo-Yi; Zhou  Zhi-Min; An  Dao-Xiang

doi:10.3724/SP.J.1146.2007.00761

Volume 30 Issue 11

Jan. 2011

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2008 > 30(11): 2719-2723

Xue Guo-Yi, Zhou Zhi-Min, An Dao-Xiang. An Improved Phase Adjustment by Contrast EnhancementAlgorithm for Airborne SAR[J]. Journal of Electronics & Information Technology, 2008, 30(11): 2719-2723. doi: 10.3724/SP.J.1146.2007.00761

Citation:

Xue Guo-Yi, Zhou Zhi-Min, An Dao-Xiang. An Improved Phase Adjustment by Contrast EnhancementAlgorithm for Airborne SAR[J]. Journal of Electronics & Information Technology, 2008, 30(11): 2719-2723. doi: 10.3724/SP.J.1146.2007.00761

Citation:

PDF( 466 KB)

An Improved Phase Adjustment by Contrast EnhancementAlgorithm for Airborne SAR

doi: 10.3724/SP.J.1146.2007.00761

Received Date: 2007-05-21
Rev Recd Date: 2008-04-21
Publish Date: 2008-11-19

Abstract

Abstract

Phase Adjustment by Contrast Enhancement (PACE) algorithm is a new nonparametric autofocus algorithm, which can extract effectively high frequency phase errors from Synthetic Aperture Radar (SAR) images. PACE algorithm searching the best parameters by optimization method needs much heavy computation load because it takes directly the phase correction vector as variables to be estimated. To reduce the computation load, an improved PACE algorithm is proposed in this paper, which is called Interpolated PACE (IPACE) algorithm. The IPACE takes the contrast function as object function and some variable of the phase correction vector as parameters to be estimated The IPACE algorithm needs much less computation load than the PACE, and the image quality achieved by IPACE is almost the same good as the quality through PACE. The results of focusing the real SAR data show the method is a good robust autofocus algorithm.
- S,
- A,
- R,
- ;,

FullText(HTML)

References(1)

References

[1] Joao R. Moreira. A new method of aircraft motion errorextraction from radar raw data for real time motioncompensation[J]. IEEE Trans. on GRS, 1990, 28(4): 620-626. [2] Mancill C E and Swiger J M. A map drift autofocus techniquefor correcting higher order SAR phase error[J]. 27th AnnualTri-Service Radar Symposium Record, Monterey, CA, 1981:391-400 [3] Berizzi F and Corsini G. Autofocusing of inverse syntheticapertureradar images using contrast optimization. IEEETrans. on AES, 1996, 32(3): 1185-1191. [4] 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 [5] 武昕伟, 朱兆达. 利用对比度最大化实现SAR 图像自聚焦[J].现代雷达, 2002, 24(3): 20-22. [6] Wahl D E, et al.. Phase gradient autofocus-a robust rool forhigh resolution SAR phase correction. IEEE Trans. on AES,1994, 30(3): 827-834. [7] Kolman J. PACE: An autofocus algorithm for SAR. IEEEInternational Radar Conference, May, 2005: 310-314. [8] 粟塔山等. 最优化计算原理与算法程序设计. 长沙: 国防科技大学出版社, 2001, 第4 章. [9] 保铮, 刑孟道等. 雷达成像技术. 北京: 电子工业出版社，2004, 12, 第6 章.

Relative Articles

Supplements(0)

Cited By

Proportional views