基于扇贝效应校正的改进滑动Mosaic全孔径成像算法

赵团; 邓云凯; 王宇; 李宁; 王翔宇

doi:10.12000/JR16014

基于扇贝效应校正的改进滑动Mosaic全孔径成像算法

DOI: 10.12000/JR16014

1.
(中国科学院电子学研究所北京 100190)
2.
(中国科学院大学北京 100039)

基金项目:

国家自然科学基金优秀青年基金（61422113）

详细信息

作者简介:
赵团(1990-),男,河南南阳人,中国科学院电子学研究所通信与信息系统专业硕士研究生,研究方向为Mosaic模式合成孔径雷达成像技术。E-mail:zhaotuan@hust.edu.cn;邓云凯(1962-),男,研究员,现为中国科学院电子学研究所研究员,博士生导师,研究方向为星载合成孔径雷达系统设计。E-mail:ykdeng@mail.ie.ac.cn;王宇(1980-),男,河南人,现为中国科学院电子学研究所研究员,博士生导师,研究方向为SAR系统设计与信号处理技术。E-mail:yuwang@mail.ie.ac.cn;李宁(1987-),男,安徽天长人,毕业于中国科学院电子学研究所,获得博士学位,现为中国科学院电子学研究所助理研究员,研究方向为多模式合成孔径雷达成像及其应用技术。E-mail:lining_nuaa@163.com;王翔宇(1990-),男,天津人,中国科学院电子学研究所通信与信息系统专业博士研究生,研究方向高分宽测模式信号处理技术。E-mail:wangxiangyu13@mails.ucas.ac.cn。

通讯作者:
赵团zhaotuan@hust.edu.cn

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出版历程
- 收稿日期: 2016-01-21
- 修回日期: 2016-05-20
- 网络出版日期: 2016-10-28

Processing Sliding Mosaic Mode Data with Modified Full-Aperture Imaging Algorithm Integrating Scalloping Correction

1.
(Institute of Electronics, Chinese Academy of Sciences, Beijing 100190, China)
2.
(University of Chinese Academy of Sciences, Beijing 100039, China)

Funds:

The National Natural Science Foundation of China (61422113)

摘要

摘要: 该文提出了一种针对滑动Mosaic模式合成孔径雷达（SAR）的全孔径成像算法，包含了扇贝效应校正和尖脉冲抑制。该方法创新性地通过方位向去斜预处理，来校正由于雷达天线转动引入的天线方向图加权，即扇贝效应校正技术。尖脉冲抑制的主要思想是利用线性预测谱估计算法，通过相邻Burst数据外推来补全Burst之间的空缺数据，从而抑制由多个Burst相干处理所引起的尖脉冲，即矛刺。最后，带宽为200 MHz的C波段机载SAR系统实验处理结果验证了该文所提方法的有效性。
- 合成孔径雷达 /
- 滑动Mosaic /
- 扇贝效应校正 /
- 全孔径成像算法 /
- 线性预测模型
Abstract: In this study, we present a modified full-aperture imaging algorithm that includes scalloping correction and spike suppression for sliding-Mosaic-mode Synthetic Aperture Radar (SAR). It is innovational to correct the azimuth beam-pattern weighting altered by radar antenna rotation in the azimuth during the de-ramping preprocessing operation. The main idea of spike suppression is to substitute zeros between bursts with linear-predicted data extrapolated from adjacent bursts to suppress spikes caused by multiburst processing. We also integrate scalloping correction for the sliding mode into this algorithm. Finally, experiments are performed using the C-band airborne SAR system with a maximum bandwidth of 200 MHz to validate the effectiveness of this approach.
- Synthetic Aperture Radar (SAR) /
- Sliding Mosaic /
- Scalloping correction /
- Full-aperture imaging algorithm /
- Linear-prediction-model

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参考文献(30)

[1]	Carrara W G, Goodman R S, and Majewski R M. Spotlight Synthetic Aperture Radar:Signal processing algorithms[M]. Boston·London, Artech House, 1995:1-3.
[2]	邓云凯, 赵凤军, 王宇. 星载SAR技术的发展趋势及应用浅析[J]. 雷达学报, 2012, 1(1):1-10. Deng Yun-kai, Zhao Feng-jun, and Wang Yu. Brief analysis on the development and application of spaceborne SAR[J]. Journal of Radars, 2012, 1(1):1-10.
[3]	Belcher D P and Baker C J. High resolution processing of hybrid strip-map/spotlight mode SAR[J]. IEE Proceedings-Radar, Sonar and Navigation, 1996, 143(6):366-374.
[4]	Mittermayer J, Lord R, and Borner E. Sliding spotlight SAR processing for TerraSAR-X using a new formulation of the extended chirp scaling algorithm[C]. 2003 IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France, 2003, 3:1462-1464.
[5]	Levy-Nathansohn R and Naftaly U. Overview of the TECSAR satellite modes of operation[C]. EUSAR 2006-6th European Conference on Synthetic Aperture Radar, Dresden, Germany, 2006:1-4.
[6]	Naftaly U and Levy-Nathansohn R. Overview of the TECSAR satellite hardware and mosaic mode[J]. IEEE Geoscience and Remote Sensing Letters, 2008, 5(3):423-426.
[7]	Naftaly U. TecSAR-performance, design and status[C]. 5th European Conference on Synthetic Aperture Radar, Ulm, Germany, 2004:27-30.
[8]	Sharay Y and Naftaly U. TECSAR:Design considerations and programme status[J]. IEE Proceedings-Radar, Sonar and Navigation, 2006, 153(2):117-121.
[9]	Freeman A, Johnson W, Huneycutt B, et al.. The "myth" of the minimum SAR antenna area constraint[J]. IEEE Transactions on Geoscience and Remote Sensing, 2000, 38(1):320-324.
[10]	Hawkins R K and Vachon P W. Modelling SAR scalloping in burst mode products from RADARSAT-1 and ENVISAT[C]. Proceedings of CEOS Working Group on Calibration/Validation SAR Workshop, London, UK, 2002.
[11]	Han X, Li S, Yu W, et al.. On the Mosaic mode spaceborne SAR[C]. 2012 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Munich, Germany, 2012:3983-3986.
[12]	Davidson G W and Cumming I. Signal properties of spaceborne squint-mode SAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35(3):611-617.
[13]	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.
[14]	An D, Huang X, Jin T, et al.. Extended two-step focusing approach for squinted spotlight SAR imaging[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(7):2889-2900.
[15]	Wang Y, Zhang Z, and Deng Y. Squint spotlight SAR raw signal simulation in the frequency domain using optical principles[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(8):2208-2215.
[16]	Cumming I G and Wong F H. Digital Processing of Synthetic Aperture Radar Data:Algorithms and Implementation[M]. Artech House, 2005.
[17]	Salzman J, Akamine D, Lefevre R, et al.. Interrupted synthetic aperture radar (SAR)[J]. IEEE Aerospace and Electronic Systems Magazine, 2002, 17(5):33-39.
[18]	Moore T G, Zuerndorfer B W, and Burt E C. Enhanced imagery using spectral-estimation-based techniques[J]. Lincoln Laboratory Journal, 1997, 10(2):171-186.
[19]	Bamler R. Optimum look weighting for burst-mode and ScanSAR processing[J]. IEEE Transactions on Geoscience and Remote Sensing, 1995, 33(3):722-725.
[20]	Moore R K, Claassen J P, and Lin Y H. Scanning spaceborne synthetic aperture radar with integrated radiometer[J]. IEEE Transactions on Aerospace and Electronic Systems, 1981, 17(3):410-421.
[21]	Bamler R. Adapting precision standard SAR processors to ScanSAR[C]. 1995 International IEEE Geoscience and Remote Sensing Symposium, IGARSS'95, Quantitative Remote Sensing for Science and Applications, Firenze, Italia, 1995, 3:2051-2053.
[22]	Bamler R, Geudtner D, Schattler B, et al.. RADARSAT ScanSAR interferometry[C]. IEEE 1999 International Geoscience and Remote Sensing Symposium, IGARSS'90 Proceedings, Alaska, USA, 1999, 3:1517-1521.
[23]	Li N, Wang R, Deng Y, et al.. Improved full-aperture ScanSAR imaging algorithm based on aperture interpolation[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(5):1101-1105.
[24]	Lanari R, Zoffoli S, Sansosti E, et al.. New approach for hybrid strip-map/spotlight SAR data focusing[J]. IEE Proceedings-Radar, Sonar and Navigation, 2001, 148(6):363-372.
[25]	Xu W, Huang P, Wang R, et al.. TOPS-mode raw data processing using chirp scaling algorithm[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(1):235-246.
[26]	Raney R K, Runge H, Bamler R, et al.. Precision SAR processing using chirp scaling[J]. IEEE Transactions on Geoscience and Remote Sensing, 1994, 32(4):786-799.
[27]	Moreira A, Mittermayer J, and Scheiber R. Extended chirp scaling algorithm for air-and spaceborne SAR data processing in stripmap and ScanSAR imaging modes[J]. IEEE Transactions on Geoscience and Remote Sensing, 1996, 34(5):1123-1136.
[28]	Li N, Wang R, Deng Y, et al.. MOCO for High-resolution ScanSAR via full-aperture processing[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2015, 8(4):1721-1726.
[29]	Li N, Wang R, Deng Y, et al.. Extension and evaluation of PGA in ScanSAR mode using full-aperture approach[J]. IEEE Geoscience and Remote Sensing Letters, 2015, 12(4):870-874.
[30]	Mehrdad S. Synthetic Aperture Radar Signal Processing with MATLAB Algorithms[M]. Canada, John Wiley & Sons, Inc., 1999:220-252.