基于双曲等效的双星滑动聚束SAR两步成像算法

doi:10.7523/j.issn.2095-6134.2021.04.010

中国科学院大学学报 ›› 2021, Vol. 38 ›› Issue (4): 511-518.DOI: 10.7523/j.issn.2095-6134.2021.04.010

基于双曲等效的双星滑动聚束SAR两步成像算法

向建冰^1,2, 吕孝雷¹, 付希凯¹

1. 中国科学院空天信息创新研究院中国科学院空间信息处理与应用系统技术重点实验室, 北京 100094;
2. 中国科学院大学电气与电子通信工程学院, 北京 100049

收稿日期:2019-11-21 修回日期:2020-01-14 发布日期:2021-07-10
通讯作者: 吕孝雷
基金资助:
国家自然科学基金（41801356）和陕西省重点研发计划项目（2019ZDLGY08-05）资助

Two-step imaging algorithm of bistatic sliding-spotlight SAR based on hyperbolic equivalent method

XIANG Jianbing^1,2, Lü Xiaolei¹, FU Xikai¹

1. Key Laboratory of Technology in Geo-Spatial Information Processing and Application Systems of CAS, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China;
2. School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China

Received:2019-11-21 Revised:2020-01-14 Published:2021-07-10

摘要/Abstract

摘要： 双星滑动聚束模式合成孔径雷达（SAR）既保持了双星SAR的灵活性、可靠性和稳定性，同时还可产生高分辨率的图像对，对于观测和测绘具有巨大的潜力。这种模式下需要兼顾双星成像与多普勒带宽显著增加的问题。分析双星滑动聚束SAR系统下目标的多普勒特性，结合双星成像算法与频谱分析法，提出一种基于双曲等效的双星滑动聚束SAR 2步成像算法。同时，针对双曲等效模型误差导致算法聚焦质量下降的问题，提出模型误差补偿方法，给出完整算法处理流程，最后用仿真实验验证所提出的算法。

关键词: 星载双星SAR, 滑动聚束模式, 谱分析, 误差补偿

Abstract: Bistatic sliding-spotlight synthetic aperture radar (SAR) can not only maintains the flexibility, reliability and stability of the bistatic SAR, but also produce high-resolution image pairs with great potential for observation and mapping. This mode should consider both characteristics of bistatic imaging and a significant increase in Doppler bandwidth. In this paper, the Doppler characteristics of the target in bistatic sliding-spotlight SAR system are analyzed, then, a two-step imaging algorithm based on hyperbolic equivalent method is proposed by combining the bistatic imaging algorithm with the spectrum analysis method. At the same time, for the degradation of the focus quality caused by the error of hyperbolic equivalent model, the model error compensation method is proposed, and the complete algorithm processing flow is given. Finally, the proposed algorithm is verified by simulation experiments.

Key words: spaceborne bistatic SAR, sliding-spotlight mode, spectral analysis(SPECAN), error compensation

中图分类号:

TN957.52

向建冰, 吕孝雷, 付希凯. 基于双曲等效的双星滑动聚束SAR两步成像算法[J]. 中国科学院大学学报, 2021, 38(4): 511-518.

XIANG Jianbing, Lü Xiaolei, FU Xikai. Two-step imaging algorithm of bistatic sliding-spotlight SAR based on hyperbolic equivalent method[J]. Journal of University of Chinese Academy of Sciences, 2021, 38(4): 511-518.

参考文献

[1] Yarman C E, Yazici B, Cheney M. Bistatic synthetic aperture radar imaging for arbitrary flight trajectories[J]. IEEE Transactions on Image Processing, 2008, 17(1):84-93.
[2] Wu Y J, Huang Y, Wu X L. A equivalent monostatic imaging algorithm for bistatic synthetic aperture radar[C]//20071st Asian and Pacific Conference on Synthetic Aperture Radar. Huangshan, China:IEEE, 2007:94-97.
[3] Loffeld O, Nies H, Peters V, et al. Models and useful relations for bistatic SAR processing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(10):2031-2038.
[4] Neo Y L, Wong F, Cumming I G. A two-dimensional spectrum for bistatic SAR processing using series reversion[J]. IEEE Geoscience and Remote Sensing Letters, 2007, 4(1):93-96.
[5] Prats P, Scheiber R, Mittermayer J, et al. Processing of sliding spotlight and TOPS SAR data using baseband azimuth scaling[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(2):770-780.
[6] Mittermayer J, Lord R, Borner E. Sliding spotlight SAR processing for TerraSAR-X using a new formulation of the extended chirp scaling algorithm[C]//IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477). Toulouse, France:IEEE, 2003:1462-1464.
[7] Lanari R, Tesauro M, Sansosti E, et al. Spotlight SAR data focusing based on a two-step processing approach[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(9):1993-2004.
[8] 韩冰, 张永军, 刘佳音, 等. 斜视滑动聚束SAR成像的ECS算法[J]. 中国科学院研究生院学报, 2012, 29(5):674-680.
[9] Breit H, Fritz T, Balss U, et al. TerraSAR-X SAR processing and products[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(2):727-740.
[10] Yang W, Chen J, Liu W, et al. A modified three-step algorithm for TOPS and sliding spotlight SAR data processing[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(12):6910-6921.
[11] Qiu X L, Hu D H, Ding C B. Focusing bistaitc images use RDA based on hyperbolic approximating[C]//2006 CIE International Conference on Radar. Shanghai, China:IEEE, 2006:1-4.
[12] 魏钟铨,陈元藻,戎鹏志,等.合成孔径雷达卫星[M].北京:科学出版社,2001:1-8.
[13] Eldhuset K. A new fourth-order processing algorithm for spaceborne SAR[J]. IEEE Transactions on Aerospace and Electronic Systems, 1998, 34(3):824-835.

基于双曲等效的双星滑动聚束SAR两步成像算法

Two-step imaging algorithm of bistatic sliding-spotlight SAR based on hyperbolic equivalent method

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 3

编辑推荐

Metrics

本文评价

访问统计

联系我们

[1]	刘保坤, 禹卫东. ScanSAR与TOPSAR的对比研究[J]. 中国科学院大学学报, 2011, 28(3): 360-365.
[2]	贾小雪, 邓云凯, 冯锦, 徐伟. 通用的多模式SAR处理算法[J]. 中国科学院大学学报, 2011, 28(1): 125-130.
[3]	冯向东, 魏东平. 基于ISC、SCSN与CRN地震记录的地方时统计特征与频谱分析[J]. 中国科学院大学学报, 2005, 22(3): 352-358.