双基地角时变下的逆合成孔径雷达越分辨单元徙动校正算法

郭宝锋; 尚朝轩; 王俊岭; 高梅国; 傅雄军

doi:10.7498/aps.63.238406

摘要

采用双基地逆合成孔径雷达距离-多普勒算法成像时, 目标尺寸较大或累积转角过大, 会引起越分辨单元徙动现象, 影响成像质量. 针对双基地角时变下逆合成孔径雷达成像的越分辨单元徙动问题, 提出了一种校正算法. 首先, 建立了双基地逆合成孔径雷达回波模型, 分析了越分辨单元徙动的产生机理, 并通过广义的Keystone变换实现了越距离单元徙动的校正, 同时消除了目标非匀速转动对成像的影响. 然后, 基于图像对比度最大准则估计了图像的等效旋转中心位置, 并对距离向绝对定标, 进而构造补偿相位项, 完成了越多普勒单元徙动的校正. 仿真实验结果表明, 此方法能够有效地校正双基地角时变下的越分辨单元徙动, 提高成像质量.

关键词:

Abstract

When the size of target or the rotation angle is big, migration through resolution cell may occur in the bistatic inverse synthetic aperture radar (ISAR), which will affect the imaging quality. Aiming at the problem of migration through resolution cell of bistatic ISAR in the presence of time-varying bistatic angle, a correction algorithm is proposed in this paper. Firstly, the echo model of bistatic ISAR is built, and the mechanism of migration through resolution cell is analyzed. Migration through range cell may be corrected through the generalized Keystone transformation, and the effect of non-uniform rotation is eliminated at the same time. Then the rotating center is estimated according to the maximum criterion of image contrast, and the range bin is scaled absolutely. A phase compensation term is constructed and the correction of migration through Doppler cell is finished. Finally, the simulations are carried out and the results show that the method proposed in this paper can solve the problem of migration through resolution cell and improve the image quality.

Keywords:

bistatic inverse synthetic aperture radar /
bistatic angle /
migration through resolution cell

作者及机构信息

1.
军械工程学院电子与光学工程系, 石家庄 050003;

2.
北京理工大学信息与电子学院, 北京 100081

基金项目: 国家自然科学基金(批准号:61271373)和上海航天科技创新基金(批准号:SAST201240)资助的课题.

Authors and contacts

1.
Department of Electronic and Optical Engineering, Ordnance Engineering College, Shijiazhuang 050003, China;

2.
School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

Funds: Project supported by the National Natural Science Foundation of China (Grant No. 61271373) and the Shanghai Aerospace Science and Technology Innovation Foundation, China (Grant No. SAST201240).

参考文献

[1]	Yang Z Q, Zhang Y S, Luo Y J 1998 Bistatic (Multistatic) Radar System (Beijing: Defense Industry Press) pp14, 15 (in Chinese) [杨振起, 张永顺, 骆永军1998双(多)基地雷达系统(北京: 国防工业出版社)第14, 15页]
[2]	Ji W J, Tong C M 2013 Chin. Phys. B 22 020301
[3]	Zhang Y M, Wang Y H, Zhao C F 2010 Chin. Phys. B 19 084103
[4]	Ma C Z, Yeo T S, Guo Q, Wei P J 2012 IEEE Trans. Geosci. Remote Sens. 50 3859
[5]	Peng S B, Xu J, Meng C Z, Yang J, Peng Y N 2013 IET International Radar Conference Xi'an, China, April 14-16, 2013 p1
[6]	Bai X R, Zhou F, Xing M D, Bao Z 2010 IEEE Trans. Geosci. Remote Sens. Lett. 7 430
[7]	Fabrice C, Ali K, Alexandre B 2006 IEEE Trans. Antenn. Propag. 54 3529
[8]	Ma C, Gu H, Su W M, Li C Z 2014 Acta Phys. Sin. 63 028403 (in Chinese) [马超, 顾红, 苏卫民, 李传中 2014 63 028403]
[9]	Pan X Y, Wang W, Feng D J, Liu Y C, Fu Q X, Wang G Y 2014 IET Radar Sonar Navig. 8 173
[10]	Zhu R F, Luo Y, Zhang Q 2011 Modern Radar 33 34 (in Chinese) [朱仁飞, 罗迎, 张群 2011 现代雷达 33 34]
[11]	Xing M D, Wu R, Bao Z 2005 IEE Proc. Radar Sonar Navig. 152 58
[12]	Zheng P, Jing X J, Sun S L, Huang H 2012 3rd IEEE International Conference on Network Infrastructure and Digital Content Beijing, China, September 21-23, 2012 p562
[13]	Zhu X P, Zhang Q, Zhu R F 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar Xi'an, China, October 26-30, 2009 p977
[14]	Zhang L, Li H L, Qiao Z J, Xing M D, Bao Z 2013 IEEE Trans. Geosci. Remote Sens. Lett. 10 1394
[15]	Horvath M S, Gorham L A, Rigling B D 2013 IEEE Trans. Aerosp. Electron. Syst. 49 1402
[16]	Wang Y, Li J W, Chen J, Xu H P, Sun B 2014 IEEE Trans. Geosci. Remote Sens. 52 640
[17]	Wang W Q, Cai J Y 2010 IEEE Antenn. Wireless Propag. Lett. 9 307
[18]	López-Dekker P, Mallorquí J J, Serra-Morales P, Sanz-Maros J 2008 IEEE Trans. Geosci. Remote Sens. 46 3459
[19]	Krieger G, de Zan F 2014 IEEE Trans. Geosci. Remote Sens. 52 1480
[20]	Bao Z, Xing M D, Wang T 2010 Radar Imaging Technology (Beijing: Publishing House of Electronics Industry) pp243-249 (in Chinese) [保铮, 邢孟道, 王彤2010雷达成像技术(北京: 电子工业出版社)第243–249页]
[21]	Ye C M, Xu J, Zuo Y, Peng Y N, Wang X T 2009 J. Tsinghua Univ. (Sci. Technol. Ed.) 49 1205 (in Chinese) [叶春茂, 许稼, 左渝, 彭应宁, 王秀坛 2009 清华大学学报 (自然科学版) 49 1205]
[22]	Dong J, Shang C X, Gao M G 2012 J. Electron. Inform. Technol. 32 1855 (in Chinese) [董健, 尚朝轩, 高梅国 2012 电子与信息学报 32 1855]

施引文献

[1]	Yang Z Q, Zhang Y S, Luo Y J 1998 Bistatic (Multistatic) Radar System (Beijing: Defense Industry Press) pp14, 15 (in Chinese) [杨振起, 张永顺, 骆永军1998双(多)基地雷达系统(北京: 国防工业出版社)第14, 15页]
[2]	Ji W J, Tong C M 2013 Chin. Phys. B 22 020301
[3]	Zhang Y M, Wang Y H, Zhao C F 2010 Chin. Phys. B 19 084103
[4]	Ma C Z, Yeo T S, Guo Q, Wei P J 2012 IEEE Trans. Geosci. Remote Sens. 50 3859
[5]	Peng S B, Xu J, Meng C Z, Yang J, Peng Y N 2013 IET International Radar Conference Xi'an, China, April 14-16, 2013 p1
[6]	Bai X R, Zhou F, Xing M D, Bao Z 2010 IEEE Trans. Geosci. Remote Sens. Lett. 7 430
[7]	Fabrice C, Ali K, Alexandre B 2006 IEEE Trans. Antenn. Propag. 54 3529
[8]	Ma C, Gu H, Su W M, Li C Z 2014 Acta Phys. Sin. 63 028403 (in Chinese) [马超, 顾红, 苏卫民, 李传中 2014 63 028403]
[9]	Pan X Y, Wang W, Feng D J, Liu Y C, Fu Q X, Wang G Y 2014 IET Radar Sonar Navig. 8 173
[10]	Zhu R F, Luo Y, Zhang Q 2011 Modern Radar 33 34 (in Chinese) [朱仁飞, 罗迎, 张群 2011 现代雷达 33 34]
[11]	Xing M D, Wu R, Bao Z 2005 IEE Proc. Radar Sonar Navig. 152 58
[12]	Zheng P, Jing X J, Sun S L, Huang H 2012 3rd IEEE International Conference on Network Infrastructure and Digital Content Beijing, China, September 21-23, 2012 p562
[13]	Zhu X P, Zhang Q, Zhu R F 2009 2nd Asian-Pacific Conference on Synthetic Aperture Radar Xi'an, China, October 26-30, 2009 p977
[14]	Zhang L, Li H L, Qiao Z J, Xing M D, Bao Z 2013 IEEE Trans. Geosci. Remote Sens. Lett. 10 1394
[15]	Horvath M S, Gorham L A, Rigling B D 2013 IEEE Trans. Aerosp. Electron. Syst. 49 1402
[16]	Wang Y, Li J W, Chen J, Xu H P, Sun B 2014 IEEE Trans. Geosci. Remote Sens. 52 640
[17]	Wang W Q, Cai J Y 2010 IEEE Antenn. Wireless Propag. Lett. 9 307
[18]	López-Dekker P, Mallorquí J J, Serra-Morales P, Sanz-Maros J 2008 IEEE Trans. Geosci. Remote Sens. 46 3459
[19]	Krieger G, de Zan F 2014 IEEE Trans. Geosci. Remote Sens. 52 1480
[20]	Bao Z, Xing M D, Wang T 2010 Radar Imaging Technology (Beijing: Publishing House of Electronics Industry) pp243-249 (in Chinese) [保铮, 邢孟道, 王彤2010雷达成像技术(北京: 电子工业出版社)第243–249页]
[21]	Ye C M, Xu J, Zuo Y, Peng Y N, Wang X T 2009 J. Tsinghua Univ. (Sci. Technol. Ed.) 49 1205 (in Chinese) [叶春茂, 许稼, 左渝, 彭应宁, 王秀坛 2009 清华大学学报 (自然科学版) 49 1205]
[22]	Dong J, Shang C X, Gao M G 2012 J. Electron. Inform. Technol. 32 1855 (in Chinese) [董健, 尚朝轩, 高梅国 2012 电子与信息学报 32 1855]

[1]	谢前朋, 潘小义, 陈吉源, 肖顺平. 基于长电偶极子和大磁圆环的新型电磁矢量传感器双基地多输入多输出雷达角度和极化参数联合估计. , 2021, 70(4): 044302. doi: 10.7498/aps.70.20201111
[2]	王童, 童创明, 李西敏, 李昌泽. 分形粗糙面合成孔径雷达成像研究. , 2016, 65(7): 070301. doi: 10.7498/aps.65.070301
[3]	赵现斌, 严卫, 王迎强, 陆文, 马烁. 基于海面散射模型的全极化合成孔径雷达海洋环境探测关键技术参数设计仿真研究. , 2014, 63(21): 218401. doi: 10.7498/aps.63.218401
[4]	朱磊, 韩天琪, 水鹏朗, 卫建华, 顾梅花. 一种抑制合成孔径雷达图像相干斑的各向异性扩散滤波方法. , 2014, 63(17): 179502. doi: 10.7498/aps.63.179502
[5]	姜祝辉, 周晓中, 游小宝, 易欣, 黄为权. 合成孔径雷达反演海面风场变分模型分析. , 2014, 63(14): 148401. doi: 10.7498/aps.63.148401
[6]	马超, 顾红, 苏卫民, 李传中. 改进的双曲等效法用于双站合成孔径雷达前视成像. , 2014, 63(2): 028403. doi: 10.7498/aps.63.028403
[7]	黄聪, 孙大军, 张殿伦, 滕婷婷. 双基地多输入多输出虚拟阵列的稳健低旁瓣波束优化技术. , 2014, 63(18): 188401. doi: 10.7498/aps.63.188401
[8]	艾未华, 严卫, 赵现斌, 刘文俊, 马烁. C波段机载合成孔径雷达海面风场反演新方法. , 2013, 62(6): 068401. doi: 10.7498/aps.62.068401
[9]	孙增国. 高分辨率合成孔径雷达图像的Gamma分布下最大后验概率降斑算法. , 2013, 62(18): 180701. doi: 10.7498/aps.62.180701
[10]	李金才, 黄思训, 彭宇行, 张卫民. 一种用于合成孔径雷达图像相干斑抑制的双边滤波参数配置新方法. , 2012, 61(11): 119501. doi: 10.7498/aps.61.119501
[11]	李金才, 黄斌, 彭宇行. 一种改进的用于合成孔径雷达图像相干斑抑制的双边滤波参数配置方法. , 2012, 61(18): 189501. doi: 10.7498/aps.61.189501
[12]	姬伟杰, 童创明. 二维海面上舰船目标电磁散射及合成孔径雷达成像技术研究. , 2012, 61(16): 160301. doi: 10.7498/aps.61.160301
[13]	艾未华, 孔毅, 赵现斌. 基于小波的多极化机载合成孔径雷达海面风向反演. , 2012, 61(14): 148403. doi: 10.7498/aps.61.148403
[14]	赵现斌, 孔毅, 严卫, 艾未华, 刘文俊. 机载合成孔径雷达海面风场探测辐射定标精度要求研究. , 2012, 61(14): 148404. doi: 10.7498/aps.61.148404
[15]	姜祝辉, 黄思训, 何然, 周晨腾. 合成孔径雷达资料反演海面风场的正则化方法研究. , 2011, 60(6): 068401. doi: 10.7498/aps.60.068401
[16]	姜祝辉, 黄思训, 石汉青, 张伟, 王彪. 合成孔径雷达图像反演海面风向新方法的研究. , 2011, 60(10): 108402. doi: 10.7498/aps.60.108402
[17]	孙增国, 韩崇昭. 基于区域分类、自适应滑动窗和结构检测的合成孔径雷达图像联合降斑算法. , 2010, 59(5): 3210-3220. doi: 10.7498/aps.59.3210
[18]	孙增国, 韩崇昭. 基于拖尾分布的高分辨率合成孔径雷达图像建模. , 2010, 59(2): 998-1008. doi: 10.7498/aps.59.998
[19]	惠娟, 王自娟, 惠俊英, 何文翔. 双基地混响平均强度理论及仿真预报. , 2009, 58(8): 5491-5500. doi: 10.7498/aps.58.5491
[20]	孙增国, 韩崇昭. 基于斑点噪声的拖尾Rayleigh分布的合成孔径雷达图像最大后验概率降噪. , 2007, 56(8): 4565-4570. doi: 10.7498/aps.56.4565

计量

文章访问数: 6847
PDF下载量: 368
被引次数: 0

姓名
邮箱
手机号码
标题
留言内容
验证码

搜索

留言板