机载高波段SAR大斜视角大场景成像算法研究

李悦丽; 梁甸农

doi:10.3724/SP.J.1146.2007.00275

机载高波段SAR大斜视角大场景成像算法研究

doi: 10.3724/SP.J.1146.2007.00275

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国家部委级基金资助课题

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出版历程
- 收稿日期: 2007-02-13
- 修回日期: 2007-11-05
- 刊出日期: 2008-09-19

Algorithms for the Application of High Squint Large Region Image Formation to Hi-Band Airborne SAR

摘要

摘要: 该文基于合成孔径雷达(SAR)斜视成像模式，分析了机载成像处理中斜距展开和二维解耦合近似相位误差与波长、斜视角、分辨率和测绘带宽度等参数的关系，证明二阶近似可满足常规高波段SAR大斜视角成像要求，但改进RD算法的聚集深度问题限制了成像方位孔径，常规CS算法未考虑二次距离压缩(SRC)的空变性，其大场景成像效果均不佳，只有NCS算法考虑了SRC随距离的线性变化，大场景高波段SAR成像聚焦性能最优。对毫米波SAR点目标成像的计算机仿真结果证明了上述分析结果。
- SAR /
- 大斜视角成像 /
- 二维频域解耦合 /
- 距离走动校正 /
- 二次距离压缩 /
- 非线性CS算法
Abstract: Based on the squinted mode Synthetic Aperture Radar (SAR), this paper describes the relationship between system parameters (wavelength, squint angle, resolution, swath) and phase errors, which caused by the approximation of slant range and 2-D frequency domain decoupling. The secondary approximation is proven to be accurate enough in normal Hi-band high squint SAR image formation. But, range-focus problem with time domain range walk correction limits the azimuth aperture of the Refined Range Doppler (RRD) algorithm; and the variant space Secondary Range Compression (SRC) causes degradation in the performance of normal Chirp Scaling (CS) algorithms. So with the consideration of variant space SRC, the Nonlinear CS algorithm is suitable for large region high squint imaging. Simulations of a MMW-band SAR system demonstrate the convolution.
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参考文献(1)

[1] Moreira A and Huang Y. Chirp scaling algorithm forprocessing SAR data with high squint angle and motion error[A]. SPIE: SAR Data Processing for Remote Sensing, 1994,2316: 268-277. [2] Moreira A and Huang Y. Airborne SAR processing of highlysquinted data using a chirp scaling approach with integratedmotion compensation [J].IEEE Trans. on Geoscience andRemote Sensing.1994, 32(9):1029-1040 [3] Davidson G W, Cumming I G, and ITO M R. A chirp scalingapproach for processing squint mode SAR data [J].IEEETrans. on Aerospace and Electronic Systems.1996, 32(1):121-133 [4] 邵玉龙，朱兆达. 前斜视机载SAR 成像处理的RD 算法研究[J].信号处理, 1999, 15(3): 249-253.Shao Yu-long and Zhu Zhao-da. Study on RD algorithm usedin squint mode airborne SAR processing[J]. Signal Processing,1999, 15(3): 249-253. [5] 刘光炎，黄顺吉. 非线性CS 算法的前斜视SAR 成像[J].电子与信息学报.2003, 25(10):1308-1315浏览 [6] 保铮，邢孟道，王彤. 雷达成像技术[M]. 北京: 电子工业出版社, 2005, 第5 章.Bao Zheng, Xing Men-dao, and Wang Tong. Radar ImageTechnology [M]. Beijing: Publishing House of ElectronicsIndustry, 2005, Chapter 5. [7] Yeo Tat Soon, Tan Ngee Leng, and Zhang Cheng Bo, et al.. Anew subaperture approach to high squint SAR processing [J].IEEE Trans. on Geoscience and Remote Sensing.2001, 39(5):954-968 [8] 张澄波. 综合孔径雷达原理、系统分析与应用[M]. 北京: 科学出版社, 1989, 第4 章.Zhang Cheng-bo. Synthetic Aperture Radar Principle,System Analysis and Application [M]. Beijing: PublishingHouse of Science, 1989, Chapter 4. [9] 王亮，练有品，黄晓涛，周智敏. 大斜视角与大波束角SAR成像比较[J]. 电子学报, 2006, 34(9): 1672-1675.Wang Liang, Lian You-pin, Huang Xiao-tao, and ZhouZhi-min. Comparison of large-squint and large-beamwidthSAR imaging, Acta Electronica Sinica, 2006, 34(9):1672-1675. [10] Moreira A, Mittermayer J, and Scheiber R. Extended chirpscaling algorithm for air- and spaceborne SAR dataprocessing in stripmap and scanSAR imaging modes [J].IEEE Trans. on Geoscience and Remote Sensing.1996, 34(5):1123-1136

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