星载分布式SAR双频乒乓模式测高精度分析

doi:10.11947/j.AGCS.2024.20220657

测绘学报 ›› 2024, Vol. 53 ›› Issue (3): 463-472.doi: 10.11947/j.AGCS.2024.20220657

星载分布式SAR双频乒乓模式测高精度分析

王媛¹, 徐华平¹, 李春升¹, 曾国兵¹, 刘爱芳², 葛仕奇²

1. 北京航空航天大学电子信息工程学院, 北京 100191;
2. 南京电子技术研究所, 江苏南京 211113

收稿日期:2022-11-21 修回日期:2023-09-21 发布日期:2024-04-08
通讯作者: 徐华平 E-mail:xuhuaping@buaa.edu.cn
作者简介:王媛(1997—),女,博士生,研究方向为合成孔径雷达干涉处理。E-mail:wyuan@buaa.edu.cn
基金资助:
国家自然科学基金(U2241202)

Analysis of interferometric mapping accuracy for spaceborne distributed SAR dual-frequency alternative bistatic mode

WANG Yuan¹, XU Huaping¹, LI Chunsheng¹, ZENG Guobing¹, LIU Aifang², GE Shiqi²

1. School of Electronic and Information Engineering, Beihang University, Beijing 100191, China;
2. Nanjing Research Institute of Electronics Technology, Nanjing 211113, China

Received:2022-11-21 Revised:2023-09-21 Published:2024-04-08
Supported by:
The National Natural Science Foundation of China (No. U2241202)

摘要/Abstract

摘要： 星载分布式合成孔径雷达(SAR)系统用于干涉测绘,凭借其基线灵活、时间去相关很小的特点得到了快速发展。与传统模式相比,双频乒乓模式能够同时得到两种频率的多幅SAR图像,可以实现更高精度的高程测量。本文首先简单介绍了双频乒乓模式的工作原理,然后深入研究了该模式下SAR干涉对的相位比例关系和相关性,理论上分析了其干涉相位估计精度和对应的测高精度,从而为系统设计和干涉处理方法研究提供理论依据。最后仿真分析结果直观展示了双频乒乓模式相较于传统模式的优越性,由于该模式增加了不同频率的干涉相位数据,干涉相位估计精度和测高精度均显著提升。

关键词: 星载分布式合成孔径雷达, InSAR, 双频乒乓模式, 测高精度分析

Abstract: Due to flexible baseline and minimal temporal decorrelation, spaceborne distributed synthetic aperture radar (SAR) systems have been rapidly developed and widely applied in interferometric mapping. Dual-frequency alternative bistatic mode is an emerging mode, it can simultaneously acquire multiple SAR images at two frequencies compared with the conventional mode, which enables higher accuracy of interferometric mapping. In this paper, the fundamental of dual-frequency alternative bistatic mode is briefly introduced. Then, the phase ratio relationship and coherence characteristics of SAR interferometric pairs in this mode are investigated in depth, and the interferometric phase accuracy and mapping accuracy are analyzed theoretically, which provides a theoretical basis for the design of the SAR systems and the study of the interferometric processing. Finally, simulation results demonstrate the superiority of the dual-frequency alternative bistatic mode over the conventional mode. This mode can increase the interferometric phase data of different frequencies, thereby improving the accuracy of interferometric mapping.

Key words: spaceborne distributed synthetic aperture radar, InSAR, dual-frequency alternative bistatic mode, interferometric mapping analysis

中图分类号:

P237

王媛, 徐华平, 李春升, 曾国兵, 刘爱芳, 葛仕奇. 星载分布式SAR双频乒乓模式测高精度分析[J]. 测绘学报, 2024, 53(3): 463-472.

WANG Yuan, XU Huaping, LI Chunsheng, ZENG Guobing, LIU Aifang, GE Shiqi. Analysis of interferometric mapping accuracy for spaceborne distributed SAR dual-frequency alternative bistatic mode[J]. Acta Geodaetica et Cartographica Sinica, 2024, 53(3): 463-472.

参考文献

[1] ROSEN P A, HENSLEY S, JOUGHIN I R, et al. Synthetic aperture radar interferometry[J]. Proceedings of the IEEE, 2000, 88(3):333-382.
[2] 李振洪, 朱武, 余琛, 等. 雷达影像地表形变干涉测量的机遇、挑战与展望[J]. 测绘学报, 2022, 51(7):1485-1519.DOI:10.11947/j.AGCS.2022.20220224. LI Zhenhong, ZHU Wu, YU Chen, et al. Interferometric synthetic aperture radar for deformation mapping:opportunities, challenges and the outlook[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(7):1485-1519.DOI:10.11947/j.AGCS.2022.20220224.
[3] SONG Song, YU Chen, MELDEBEKOVA M, et al. Normal fault slips of the March 2021 Greece earthquake sequence from InSAR observations[J]. Journal of Geodesy and Geoinformation Science, 2022, 5(1):50-59.
[4] HANSSEN R F. Radar interferometry:data interpretation and error analysis[M]. Dordrecht:Springer, 2001.
[5] LIU G, ZBIGNIEW P, STEFANO S, et al. Land surface displacement geohazards monitoring using multi-temporal InSAR techniques[J]. Journal of Geodesy and Geoinformation Science, 2021,4(1):77-87.
[6] KRIEGER G, FIEDLER H, MOREIRA A. Bi- and multistatic SAR:potentials and challenges[EB/OL].[2022-11-10]. https://elib.dlr.de/6192/1/090_Krieger.pdf.
[7] 邵凯, 张厚喆, 秦显平, 等. 分布式InSAR编队卫星精密绝对和相对轨道确定[J]. 测绘学报, 2021, 50(5):580-588.DOI:10.11947/j.AGCS.2021.20200415. SHAO Kai, ZHANG Houzhe, QIN Xianping, et al. Precise absolute and relative orbit determination for distributed InSAR satellite system[J]. Acta Geodaetica et Cartographica Sinica, 2021, 50(5):580-588.DOI:10.11947/j.AGCS.2021.20200415.
[8] 楼良盛, 缪剑, 陈筠力, 等. 卫星编队InSAR系统设计系列关键技术[J]. 测绘学报, 2022, 51(7):1372-1385. DOI:10.11947/j.AGCS.2022.20220110. LOU Liangsheng, MIAO Jian, CHEN Junli, et al. Key issues of InSAR system designment based on satellite formation[J]. Acta Geodaetica et Cartographica Sinica, 2022, 51(7):1372-1385. DOI:10.11947/j.AGCS.2022.20220110.
[9] KRIEGER G, MOREIRA A, FIEDLER H, et al. TanDEM-X:a satellite formation for high-resolution SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2007, 45(11):3317-3341.
[10] BELLO J L B, MARTONE M, KRAUS T, et al. Performance evaluation of TanDEM-X experimental modes[C]//Proceedings of 2014 European Conference on Synthetic Aperture Radar. Berlin:VDE,2014:284-287.
[11] BUESO-BELLO J L, MARTONE M, PRATS-IRAOLA P, et al. First characterization and performance evaluation of bistatic TanDEM-X experimental products[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(3):1058-1071.
[12] PINHEIRO M, REIGBER A, SCHEIBER R, et al. Generation of highly accurate DEMs over flat areas by means of dual-frequency and dual-baseline airborne SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(8):4361-4390.
[13] WANG Zhongbin, WANG Yachao, WANG Bingnan, et al. Multi-frequency interferometric coherence characteristics analysis of typical objects for coherent change detection[J]. Remote Sensing, 2022, 14(7):1689.
[14] DING Zegang, WANG Zhen, WANG Yan, et al. Refined multifrequency interferometric SAR phase unwrapping for extremely steep terrain[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60:1-20.
[15] PEPE A, CALÒ F. A review of interferometric synthetic aperture RADAR (InSAR) multi-track approaches for the retrieval of earth's surface displacements[J]. Applied Sciences, 2017, 7(12):1264.
[16] LIU Aifang, ZHOU Chaowei, XU Hui, et al. N-SAR-SG:the second generation airborne SAR system in N-SAR series with multi-band capability[C]//Proceedings of 2022 IEEE International Geoscience and Remote Sensing Symposium.Kuala Lumpur:IEEE, 2022:7464-7467.
[17] XU Huaping, KANG Changhui. Equivalence analysis of accuracy of geolocation models for spaceborne InSAR[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(1):480-490.
[18] 王超, 张红, 刘智. 星载合成孔径雷达干涉测量[M]. 北京:科学出版社, 2002:33-37. WANG Chao, ZHANG Hong, LIU Zhi. Spaceborne synthetic aperture radar interferometry[M]. Beijing:Science Press, 2002:33-37.
[19] LI Shun, YU Anxi, ZHU Xiaoxiang, et al. Research on alternating bistatic mode of spaceborne dual-antenna InSAR system[C]//Proceedings of 2018 IEEE International Conference on Signal and Image Processing.Shenzhen:IEEE, 2018:473-477.
[20] EINEDER M, ADAM N. A maximum-likelihood estimator to simultaneously unwrap, geocode, and fuse SAR interferograms from different viewing geometries into one digital elevation model[J]. IEEE Transactions on Geoscience and Remote Sensing, 2005, 43(1):24-36.
[21] 徐华平, 李春升, 张家伟. 微波成像雷达信号统计特性:随机过程理论的应用[M]. 北京:北京航空航天大学出版社, 2018:120-124. XU Huaping, LI Chunsheng, ZHANG Jiawei. Statistical characteristics of microwave imaging radar signals:application of stochastic process theory[M]. Beijing:Beijing University of Aeronautics & Astronautics Press, 2018:120-124.
[22] ZEBKER H A, VILLASENSOR J. Decorrelation in interferometric radar echoes[J]. IEEE Transactions on Geoscience and Remote Sensing, 1992, 30(5):950-959.
[23] ZEBKER H A, WERNER C L, ROSEN P A, et al. Accuracy of topographic maps derived from ERS-1 interferometric radar[J]. IEEE Transactions on Geoscience and Remote Sensing, 1994, 32(4):823-836.
[24] WANG Teng, LIAO Mingsheng, PERISSIN D. InSAR coherence-decomposition analysis[J]. IEEE Geoscience and Remote Sensing Letters, 2010, 7(1):156-160.
[25] FIEDLER H, BOERNER E, MITTERMAYER J, et al. Total zero Doppler steering-a new method for minimizing the Doppler centroid[J]. IEEE Geoscience and Remote Sensing Letters, 2005, 2(2):141-145.
[26] JUST D, BAMLER R. Phase statistics of interferograms with applications to synthetic aperture radar[J]. Applied Optics, 1994, 33(20):4361-4368.
[27] GATELLI F, MONTI GUAMIERI A, PARIZZI F, et al. The wavenumber shift in SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 1994, 32(4):855-865.

星载分布式SAR双频乒乓模式测高精度分析

Analysis of interferometric mapping accuracy for spaceborne distributed SAR dual-frequency alternative bistatic mode

RichHTML

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	何毅, 杨旺, 朱庆. 基于R2AU-Net的InSAR相位解缠方法[J]. 测绘学报, 2024, 53(3): 435-449.
[2]	岳佳伟, 黄其欢, 刘辉, 马张烽. 离散优化框架下的多基线InSAR相位解缠方法[J]. 测绘学报, 2024, 53(3): 473-481.
[3]	林东方, 姚宜斌, 郑敦勇, 廖孟光, 谢建. 利用均方误差相对变化规律确定正则化参数及其在PolInSAR测量反演中的应用[J]. 测绘学报, 2023, 52(9): 1480-1491.
[4]	李涛, 李超, 沈翔, 江利明, 汪汉胜, 李刚, 林珲. 双站InSAR和ICESat-2测高相结合的西昆仑山近20年冰川物质平衡变化监测[J]. 测绘学报, 2023, 52(6): 917-931.
[5]	张玉鹏, 张永红, 吴宏安, 刘青豪, 魏钜杰, 康永辉. 融合卫星与地面数据研究京津冀地区弹性骨架储水系数[J]. 测绘学报, 2023, 52(4): 660-669.
[6]	沈光保, 潘斌, 刘磊. 船载双天线InSAR边坡形变监测[J]. 测绘学报, 2023, 52(3): 443-453.
[7]	林东方, 朱建军, 李志伟, 付海强, 梁继, 周访滨, 张兵. 顾及地表散射贡献与多基线参数线性相关性的PolInSAR植被高反演方法[J]. 测绘学报, 2023, 52(1): 51-60.
[8]	许强, 朱星, 李为乐, 董秀军, 戴可人, 蒋亚楠, 陆会燕, 郭晨. “天-空-地”协同滑坡监测技术进展[J]. 测绘学报, 2022, 51(7): 1416-1436.
[9]	李志伟, 许文斌, 胡俊, 冯光财, 杨泽发, 李佳, 张恒, 陈琦, 朱建军, 王琪洁, 赵蓉, 段梦. InSAR部分地学参数反演[J]. 测绘学报, 2022, 51(7): 1458-1475.
[10]	马张烽, 蒋弥, 李桂华, 黄腾. 空间网络对时序InSAR相位解缠的影响——以Delaunay与Dijkstra网络为例[J]. 测绘学报, 2022, 51(2): 248-257.
[11]	陈力, 张德新, 陈筠力, 邵晓巍. 分布式InSAR卫星系统编队指标体系研究[J]. 测绘学报, 2022, 51(12): 2433-2439.
[12]	高敬坤, 汪志龙, 程家胜, 丛琳, 范炜康, 胡振龙. 天绘二号双星方位向天线方向图在轨测量关键技术[J]. 测绘学报, 2022, 51(12): 2470-2480.
[13]	戴可人, 沈月, 吴明堂, 冯文凯, 董秀军, 卓冠晨, 易小宇. 联合InSAR与无人机航测的白鹤滩库区蓄水前地灾隐患广域识别[J]. 测绘学报, 2022, 51(10): 2069-2082.
[14]	朱武, 窦昊, 殷那政, 程意清, 张双成, 张勤. 联合InSAR和SSA的膨胀土边坡形变特征分析——以南水北调工程为例[J]. 测绘学报, 2022, 51(10): 2083-2092.
[15]	郭澳庆, 胡俊, 郑万基, 桂容, 杜志贵, 朱武, 贺乐和. 时序InSAR滑坡形变监测与预测的N-BEATS深度学习法——以新铺滑坡为例[J]. 测绘学报, 2022, 51(10): 2171-2182.