基于先验误差模型的机载高分宽幅DBF-SAR自聚焦算法

doi:10.7527/S1000-6893.2020.24502

电子电气工程与控制

本期目录 | 过刊浏览 | 高级检索

前一篇 | 后一篇

基于先验误差模型的机载高分宽幅DBF-SAR自聚焦算法

鲍悦¹, 陈俊宇¹, 施天玥¹, 毛新华^1,2

1. 南京航空航天大学电子信息工程学院, 南京 210016;
2. 南京航空航天大学雷达成像与微波光子学教育部重点实验室, 南京 210016

收稿日期:2020-07-06 修回日期:2020-07-20 出版日期:2021-06-15 发布日期:1900-01-01
通讯作者: 毛新华 E-mail:xinhua@nuaa.edu.cn
基金资助:
国家自然科学基金（62071225，61671240）；江苏省优秀青年基金（BK20170091）；国防科技重点实验室基金（6142503180201）

Error model-aided autofocus for airborne high resolution wide swath DBF-SAR

BAO Yue¹, CHEN Junyu¹, SHI Tianyue¹, MAO Xinhua^1,2

1. College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;
2. Key Laboratory of Radar Imaging and Microwave Photonics, Ministry of Education, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Received:2020-07-06 Revised:2020-07-20 Online:2021-06-15 Published:1900-01-01
Supported by:
National Natural Science Foundation of China(62071225,61671240);Natural Science Foundation of Jiangsu Province(BK20170091);National Defense Science and Technology Key Laboratory Fund(6142503180201)

摘要/Abstract

摘要： 高分宽幅（HRWS）数字波束形成（DBF）合成孔径雷达（SAR）利用多通道空间采样代替部分时域采样，可以有效缓解SAR成像时高分辨率与宽测绘带间的矛盾，具有重要的军用和民用价值。现有常规DBF-SAR成像算法都假设雷达传感器相对位置精确已知，实际应用中受传感器位置测量误差影响，由位置不精确导致的相位误差会严重影响DBF-SAR高精度成像能力。在极坐标格式算法（PFA）框架下，推导了DBF-SAR成像处理后，残留相位误差的解析模型，分析了该误差对成像质量的影响。依据推导的先验相位误差解析结构模型，提出了一种基于图像对比度最优化准则的自聚焦算法。新算法通过引入先验相位结构信息，极大降低了待估参数的空间维数，可以同时改善自聚焦算法的参数估计精度和计算效率。数据处理结果验证了理论分析的正确性和所提算法的有效性。

关键词: 合成孔径雷达(SAR), 高分宽幅(HRWS), 极坐标格式算法(PFA), 自聚焦, 对比度最优算法(COMM)

Abstract: The High-Resolution Wide-Swath (HRWS) Digital Beam Forming (DBF) Synthetic Aperture Radar (SAR) operates with multi-channel spatial sampling instead of partial time-domain sampling, effectively easing the contradiction between high resolution and wide swath of SAR images, exhibiting important military and civilian values. Conventional DBF-SAR imaging methods assume that the relative position of the radar sensor is accurately known. However, phase errors caused by inaccurate sensor positions will seriously affect the high-resolution imaging capability of the DBF-SAR. Based on the Polar Format Algorithm (PFA), the analytical model of the residual azimuth phase error after DBF-SAR imaging processing is derived, and the effect of the error on the imaging quality is analyzed. An autofocusing algorithm based on image contrast optimization is proposed with the deduced analytical structure model of a priori phase errors. This method reduces the spatial dimension of the parameters to be estimated, improving the parameter estimation accuracy and calculation efficiency of the autofocus algorithm by introducing a priori analytical structure information. Simulation data processing results verify the correctness of theoretical analysis and the effectiveness of the proposed method.

Key words: Synthetic Aperture Radar (SAR), High-Resolution Wide-Swath (HRWS), Polar Format Algorithm (PFA), autofocus, Contrast Optimization Autofocusing Algorithm (COAA)

中图分类号:

鲍悦, 陈俊宇, 施天玥, 毛新华. 基于先验误差模型的机载高分宽幅DBF-SAR自聚焦算法[J]. 航空学报, 2021, 42(6): 324502-324502.

BAO Yue, CHEN Junyu, SHI Tianyue, MAO Xinhua. Error model-aided autofocus for airborne high resolution wide swath DBF-SAR[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2021, 42(6): 324502-324502.

参考文献

[1] 房超, 刘艳阳, 李真芳, 等. 方位多通道HRWS SAR多普勒中心稳健估计算法[J]. 西安电子科技大学学报, 2018, 45(1):30-34,116. FANG C, LIU Y Y, LI Z F, et al. Robust Doppler centroid estimation method for multichannel HRWS SAR[J]. Journal of Xidian University, 2018, 45(1):30-34,116(in Chinese).
[2] YANG X Y, LI G, SUN J P, et al. High-resolution and wide-swath SAR imaging via Poisson disk sampling and iterative shrinkage thresholding[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(7):4692-4704.
[3] KRIEGER G, YOUNIS M, GEBERT N, et al. Advanced concepts for high-resolution wide-swath SAR imaging[C]//8th European conference on Synthetic Aperture Radar, 2010:7-10.
[4] MEN Z R, WANG P B, LI C S. Modified imaging method for high resolution wide swath spaceborne SAR based on nonuniform azimuth sampling[C]//2015 IEEE 5th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). Piscataway:IEEE Press, 2015:447-449.
[5] HUANG P H, XIA X G, LIU X Z, et al. A novel baseline estimation method for multichannel HRSW SAR system[J]. IEEE Geoscience and Remote Sensing Letters, 2019, 16(12):1829-1833.
[6] LIU B C, HE Y J. Improved DBF algorithm for multichannel high-resolution wide-swath SAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(2):1209-1225.
[7] 卢景月, 张磊, 孟智超,等. 曲线轨迹下前视多通道SAR解模糊成像算法[J]. 航空学报, 2019, 40(7):322745. LU J Y, ZHANG L, MENG Z C, et al. Unambiguous imaging for forward-looking synthetic aperture radar on curve trajectory[J]. Acta Aeronautica et Astronautica Sinica, 2019, 40(7):322745(in Chinese).
[8] WANG Z B, LIU Y Y, LI Z F, et al. Phase bias estimation for multi-channel HRWS SAR based on Doppler spectrum optimization[J]. Electronic Letter, 2016, 52(21):1805-1807.
[9] 郜参观, 邓云凯, 冯锦, 等. 非均匀采样对偏置相位中心多波束SAR性能影响的分析[J]. 电子与信息学报, 2012, 34(6):1305-1310. GAO C G, DENG Y K, FENG J, et al. Analysis on the non-uniform sampling of displaced phase center multiple-beam SAR systems[J]. Journal of Electronics & Information Technology, 2012, 34(6):1305-1310(in Chinese).
[10] BAO Y, SHI T Y, LI D Q, et al. Modified polar format algorithm for high-resolution wide-swath DBF-SAR[C]//2019 IEEE 6th Asia-Pacific Conference on Synthetic Aperture Radar (APSAR). Piscataway:IEEE Press, 2019:1-5.
[11] 范强, 吕晓德, 张平, 等. 星载SAR DPCMAB技术的方位向非均匀采样研究[J]. 电子与信息学报, 2006, 28(1):31-35. FAN Q, LV X D, ZHANG P, et al. Study of nonuniform azimuth sampling of DPCMAB technique in spaceborne SAR[J]. Journal of Electronics & Information Technology, 2006, 28(1):31-35(in Chinese).
[12] KRIEGER G, GEBERT N, MOREIRA A. Unambiguous SAR signal reconstruction from nonuniform displaced phase center sampling[J]. IEEE Geoscience Remote Sensing Letters, 2004, 1(4):260-264.
[13] CERUTTI-MAORI D, SIKANETA I, KLARE J, et al. MIMO SAR processing for multichannel high-resolution wide-swath radars[J]. IEEE Transaction on Geoscience Remote Sensing, 2014, 52(8):5034-5055.
[14] KIM J H, YOUNIS M, PRATS-IRAOLA P, et al. First spaceborne demonstration of digital beamforming for azimuth ambiguity suppression[J]. IEEE Transactions on Geoscience and Remote Sensing, 2013, 51(1):579-590.
[15] JIN T T, QIU X L, HU D H, et al. Unambiguous imaging of static scenes and moving targets with the first Chinese dual-channel spaceborne SAR sensor[J]. Sensors, 2017, 17(8):1709.
[16] 刘艳阳,李真芳,杨桃丽,等. 一种单星方位多通道高分辨率宽测绘带SAR系统通道相位偏差时域估计新方法[J]. 电子与信息学报, 2012, 34(12):2913-2919. LIU Y Y, LI Z F, YANG T L, et al. A novel channel phase bias estimation method for spaceborne along-track multi-channel HRWS SAR in time-domain[J]. Journal of Electronics & Information Technology, 2012, 34(12):2913-2919(in Chinese).
[17] WANG W, AN D X, LUO Y X, et al. A modified map-drift algorithm for SAR autofocusing[C]//2018 Asia-Pacific Microwave Conference (APMC), 2018:815-817.
[18] EVERS A, JACKSON J A. A generalized phase gradient autofocus algorithm[J]. IEEE Transactions on Computational Imaging, 2019,5(4):606-619.
[19] MORRISON R L, DO M N, MUNSON D C. SAR image autofocus by sharpness optimization:A theoretical study[J]. IEEE Transactions on Image Processing, 2007, 16(9):2309-2321.
[20] BERIZZI F, MARTORELLA M, CACCIAMANO A, et al. A contrast-based algorithm for synthetic range-profile motion compensation[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(10):3053-3062.
[21] MARC J, SCHEIBER R, REIGBER A. Robust, model-based external calibration of multi-channel airborne SAR sensors using range compressed raw data[J]. Remote Sensing, 2019, 11(22):2674.
[22] MAO X H, ZHU D Y. Two-dimensional autofocus for spotlight SAR polar format imagery[J]. IEEE Transactions on Computational Imaging, 2016, 2(4):524-539.
[23] MAO X H, ZHU D Y, ZHU Z D. Autofocus correction of APE and residual RCM in spotlight SAR polar format imagery[J]. IEEE Transactions on Aerospace and Electronic Systems, 2013, 49(4):2693-2706.
[24] ZHU D Y, MAO X H, LI Y. Far-field limit of PFA for SAR moving target imaging[J]. IEEE Transaction on Aerospace and Electronic Systems, 2010, 46(2):917-929.
[25] MAO X H, DING L, ZHANG Y D, et al. Knowledge-aided 2-D autofocus for spotlight SAR filtered backprojection imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2019, 57(11):9041-9058.
[26] MAO X H, HE X L, LI D Q. Knowledge-aided 2-D autofocus for spotlight SAR range migration algorithm imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(9):5458-5470.

E-mail：hkxb@buaa.edu.cn

关于我们

期刊社服务

专业学科

封面文章

友情链接

主管单位：中国科学技术协会主办单位：中国航空学会北京航空航天大学

基于先验误差模型的机载高分宽幅DBF-SAR自聚焦算法

Error model-aided autofocus for airborne high resolution wide swath DBF-SAR

RichHTML

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 12

编辑推荐

Metrics

本文评价

[1]	卢景月, 张磊, 孟智超, 盛佳恋. 曲线轨迹下前视多通道SAR解模糊成像算法[J]. 航空学报, 2019, 40(7): 322745-322745.
[2]	韩宁, 李宝晨, 王立兵, 童俊, 郭宝锋. 基于稀疏分解的空间目标双基地ISAR自聚焦算法[J]. 航空学报, 2018, 39(8): 322037-322037.
[3]	朱晓秀, 胡文华, 马俊涛, 郭宝锋, 薛东方. 双基地角时变下的ISAR稀疏孔径自聚焦成像[J]. 航空学报, 2018, 39(8): 322059-322059.
[4]	韦北余, 朱岱寅, 吴迪. 基于杂波对消-自聚焦的多通道SAR-GMTI[J]. 航空学报, 2015, 36(5): 1585-1595.
[5]	王昕, 朱岱寅, 蒋锐. 机载SAR反投影图像自聚焦处理方法[J]. 航空学报, 2014, 35(11): 3074-3081.
[6]	毛新华, 朱岱寅, 朱兆达. 一种超高分辨率机载聚束SAR两维自聚焦算法[J]. 航空学报, 2012, 33(7): 1289-1295.
[7]	韩宁, 王立兵, 何强, 董健. 双基角时变下的空间目标BISAR自聚焦算法[J]. 航空学报, 2012, 33(10): 1864-1871.
[8]	蒋锐;朱岱寅;朱兆达. 一种用于条带模式SAR成像的自聚焦算法[J]. 航空学报, 2010, 31(12): 2385-2392.
[9]	关振红;朱兆达;朱岱寅. 块自适应球形矢量量化算法压缩SAR原始数据[J]. 航空学报, 2006, 27(1): 82-86.
[10]	钟睿;毛士艺. 一种改进的PGA最大似然相位估计法[J]. 航空学报, 2003, 24(6): 537-540.
[11]	武昕伟;朱兆达. 一种基于高阶统计量的SAR图像自聚焦算法[J]. 航空学报, 2003, 24(1): 66-68.
[12]	付文宪;洪文;李少洪. 机载聚束式SAR中空变相差的分析[J]. 航空学报, 2001, 22(S1): 70-74.