Novel Missile-borne Forward-looking SAR Algorithm Based on Motion Compensation

ZHANG Yan; ZHANG Linrang; TANG Shiyang

doi:10.11999/JEIT161006

Volume 38 Issue 12

Jan. 2017

Turn off MathJax

Article Contents

Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(12): 3159-3165

Yu LI, Jie CHEN, Yuanzhi ZHANG. Progress in Research on Marine Oil Spills Detection Using Synthetic Aperture Radar[J]. Journal of Electronics & Information Technology, 2019, 41(3): 751-762. doi: 10.11999/JEIT180468

Citation:

ZHANG Yan, ZHANG Linrang, TANG Shiyang. Novel Missile-borne Forward-looking SAR Algorithm Based on Motion Compensation[J]. Journal of Electronics & Information Technology, 2016, 38(12): 3159-3165. doi: 10.11999/JEIT161006

Citation:

PDF( 617 KB)

Novel Missile-borne Forward-looking SAR Algorithm Based on Motion Compensation

doi: 10.11999/JEIT161006

Funds:

The National Natural Science Foundation of China (61601343, 61671361)

Received Date: 2016-09-30
Rev Recd Date: 2016-11-24
Publish Date: 2016-12-19

Abstract

Abstract

For missile-borne forward-looking SAR in curve trajectory, time-variant motion errors are ignored, leading to degradations in imaging result. This paper proposes a missile-borne forward-looking SAR algorithm based on motion compensation to solve the above problem. The acceleration is divided into forward-looking acceleration and cross-track acceleration, the second phase error and cubic phase error caused by these two accelerations are analyzed in detail. For the cross-track acceleration component, it can be divided into the acceleration vertical to the imaging plane and the one in imaging plane further. Via such dividing, the phase errors caused by acceleration are compensated by using vectorial methods. Moreover, for range migration, it is compensated through Nonlinear Chirp Scaling (NCS) approach based on the accurate 2-D spectrum acquired by the Method of Series Reversion (MSR). The simulated results are given to illustrate the validity of the proposed algorithm.
- Motion compensation,
- Curve trajectory,
- Missile-borne,
- Nonlinear Chirp Scaling (NCS) algorithm,
- Method of Series Reversion (MSR)

FullText(HTML)

References(23)

References

庞礡, 代大海, 邢世其, 等. 前视SAR成像技术的发展和展望[J]. 系统工程与电子技术, 2013, 35(11): 2283-2290. doi: 10.3969/j.issn.1001-506X.2013.11.09.

PANG Bo, DAI Dahai, XING Shiqi, et al. Development and perspective of forward-looking SAR imaging technique[J]. Systems Engineering and Electronics, 2013, 35(11): 2283-2290. doi: 10.3969/j.issn.1001-506X.2013.11.09.

黎剑兵, 张双喜, 苏大亮, 等. 一种多普勒域走动校正的斜视SAR成像算法[J]. 宇航学报, 2016, 37(1): 118-126. doi: 10.3873/j.issn.1000-1328.2016.01.015.

LI Jianbing, ZHANG Shuangxi, SU Daliang et al. A squint SAR imaging algorithm for linear range cell migration correction in Doppler domain[J]. Journal of Astronautics, 2016, 37(1): 118-126. doi: 10.3873/j.issn.1000-1328.2016.01. 015.

梁颖, 张群, 杨秋, 等. 基于改进NCS算法的弹载FMCW SAR大斜视成像方法[J]. 系统工程与电子技术, 2016, 38(8): 1764-1770. doi: 10.3969/j.issn.1001-506X.2016.08.09.

LIANG Ying, ZHANG Qun, YANG Qiu, et al . Study on the high squint imaging method for missile-borne FMCW SAR based on extended NCS algorithm[J]. Systems Engineering and Electronics, 2016, 38(8): 1764-1770. doi: 10.3969/j.issn. 1001-506X.2016.08.09.

CUMMING I G and WONG F. Digital Processing of Synthetic Aperture Radar: Algorithms and Implemention[M]. Norwood, MA: Artech House, 2005, Chapters 1-4.

YI Yusheng, ZHANG Linrang, LI Yan, et al. Range Doppler algorithm for bistatic missile-borne forward-looking SAR[C]. 2nd Asian-pacific Conference on Synthetic Aperture Radar Proceedings, Xian, China, 2009, 4: 960-963. doi: 10.1109/ APSAR.2009.5374268.

孟自强, 李亚超, 刑孟道, 等. 基于斜距等效的弹载双基前视SAR相位空变校正方法[J]. 电子与信息学报, 2016, 38(3): 613-621. doi: 10.11999/JEIT150782.

MENG Ziqiang, LI Yachao, XING Mengdao, et al. Phase space-variance correction method for missile-borne bistatic forward-looking SAR based on equivalent range equation[J]. Journal of Electronics Information Technology, 2016, 38(3): 613-621. doi: 10.11999/JEIT150782.

HEE S S and JONG T L. Omega-K algorithm for airborne forward-looking spotlight SAR imaging[J]. IEEE Geoscience and Remote Sensing Letters, 2009, 6(2): 312-316. doi: 10.1109/LGRS.2008.2011924.

LI Wenchao, YANG Jianyu, HUANG Yulin, et al. A geometry-based Doppler centroid estimator for bistatic forward-looking SAR[J]. IEEE Geoscience and Remote Sensing Letters, 2012, 9(3): 388-392. doi: 10.1109/LGRS. 2011.2170151.

孟自强, 李亚超, 邢孟道, 等. 弹载双基前视SAR扩展场景成像算法设计[J]. 西安电子科技大学学报(自然科学版), 2016, 43(3): 31-37. doi: 10.3969/j.issn.1001-2400.2016.03.006.

MENG Ziqiang, LI Yachao, XING Mengdao, et al. Imaging method for the extended scene of missile-borne bistatic forward-looking SAR[J]. Journal of Xidian University (Natural Science), 2016, 43(3): 31-37. doi: 10.3969/j.issn. 1001-2400.2016.03.006.

REN Xiaozhen, SUN Jiantao, YANG Ruliang, et al. A new three-dimensional imaging algorithm for airborne forward-looking SAR[J]. IEEE Geoscience and Remote Sensing Letters, 2011, 8(1): 153-157. doi: 10.1109/LGRS. 2010.2055035.

包敏, 周鹏, 史林. 双天线前视弹载SAR解模糊算法研究[J]. 电子与信息学报, 2013, 35(12): 2857-2862. doi: 10.3724/ SP.J.1146.2013.00083.

BAO Min, ZHOU Peng, and SHI Lin. Study on deambiguity algorithm for double antenna forward looking missile borne SAR[J]. Journal of Electronics Information Technology, 2013, 35(12): 2857-2862. doi: 10.3724/SP.J.1146.2013.00083.

陈琦, 杨汝良. 机载前视合成孔径雷达Chirp Scaling成像算法研究[J]. 电子与信息学报, 2008, 30(1): 228-232. doi: 10.3724/SP.J.1146.2006.00747.

CHEN Qi and YANG Ruliang. Research of chirp scaling algorithm for airborne forward-looking SAR[J]. Journal of Electronics Information Technology, 2008, 30(1): 228-232. doi: 10.3724/SP.J.1146.2006.00747.

刘高高, 张林让, 刘昕, 等. 一种曲线轨迹下的大场景前斜视成像算法[J]. 电子与信息学报, 2011, 33(3): 628-633. doi: 10.3724/SP.J.1146.2010.00575.

LIU Gaogao, ZHANG Linrang, LIU Xin, et al. Missile-borne large region squint SAR algorithm based on a curve trajectory[J]. Journal of Electronics Information Technology, 2011, 33(3): 628-633. doi: 10.3724/SP.J.1146. 2010.00575.

NEO Y L, WONG F, and 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. doi: 10.1109/LGRS.2006.885862.

DAVIDSON G W, CUMMING I G, and ITO M R. A chirp scaling approach for processing squint mode SAR data[J]. IEEE Transactions on Aerospace and Electronic Systems, 1996, 32(1): 121-133. doi: 10.1109/7.481254.

Relative Articles

Supplements(0)

Cited By

Cited by

Periodical cited type(11)

1.	郭杜，杨鹏举. 基于ResNet-UNet模型的SAR图像海面溢油检测. 计算机测量与控制. 2025(03): 37-44 .
2.	罗卿莉，陈志远，刘宇婷，张进，李煜. 紧缩极化SAR卷积神经网络溢油检测方法. 测绘通报. 2024(06): 13-18 .
3.	马靖，过杰. 基于微波散射实验的油种识别研究. 海洋与湖沼. 2023(01): 30-43 .
4.	栾晓宁，廖玉昆，禚堃，闫道夏，牟冰，秦平，李千，康颖. 面向水面溢油检测的多角度偏振反射特性仿真研究. 光学学报. 2023(06): 239-247 .
5.	杨鹏举，郭杜. 卷积神经网络在SAR图像海面溢油检测中的应用. 延安大学学报(自然科学版). 2023(01): 20-25 .
6.	朱磊，李敬曼，潘杨，刘玉春，胡晓. 自适应调节滤波强度的SAR图像非局部平均抑斑算法. 电子与信息学报. 2021(05): 1258-1266 . 本站查看
7.	杨磊，张苏，黄博，盖明慧，李埔丞. 多任务协同优化学习高分辨SAR稀疏自聚焦成像算法. 电子与信息学报. 2021(09): 2711-2719 . 本站查看
8.	王欢，张超，郧文聚，吕雅慧，尤淑撑，魏海. 基于多时相GF1-WFV和GF3-FSⅡ极化特征的湿地分类. 农业机械学报. 2020(03): 209-215 .
9.	任慧敏，宋冬梅，王斌，甄宗晋，刘斌，张婷. 基于新极化特征参数的SAR海洋溢油检测. 遥感技术与应用. 2020(04): 934-942 .
10.	孟智超，卢景月，张帅钦，张磊，王虹现. 单通道合成孔径雷达抗调频斜率失配干扰新方法. 电子与信息学报. 2020(09): 2246-2252 . 本站查看
11.	谢谚. 溢油监测技术在石油石化企业环境风险防控中的应用. 化工环保. 2019(06): 608-613 .