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

Li  Yue-Li; Liang  Dian-Nong

doi:10.3724/SP.J.1146.2007.00275

Volume 30 Issue 9

Jan. 2011

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2008 > 30(9): 2046-2050

Li Yue-Li, Liang Dian-Nong. Algorithms for the Application of High Squint Large Region Image Formation to Hi-Band Airborne SAR[J]. Journal of Electronics & Information Technology, 2008, 30(9): 2046-2050. doi: 10.3724/SP.J.1146.2007.00275

Citation:

Li Yue-Li, Liang Dian-Nong. Algorithms for the Application of High Squint Large Region Image Formation to Hi-Band Airborne SAR[J]. Journal of Electronics & Information Technology, 2008, 30(9): 2046-2050. doi: 10.3724/SP.J.1146.2007.00275

Citation:

PDF( 343 KB)

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

doi: 10.3724/SP.J.1146.2007.00275

Received Date: 2007-02-13
Rev Recd Date: 2007-11-05
Publish Date: 2008-09-19

Abstract

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.
- S,
- A,
- R,
- ;,

FullText(HTML)

References(1)

References

[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

Relative Articles

Supplements(0)

Cited By

Proportional views