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

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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:

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.

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 物理学报 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 物理学报 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]

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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

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.

收稿日期: 2014-06-06

修回日期: 2014-07-13

刊出日期: 2014-12-05

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:

Correction of migration through resolution cell in bistatic inverse synthetic aperture radar in the presence of time-varying bistatic angle

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

Fund Project:

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).

Received Date: 06 June 2014

Accepted Date: 13 July 2014

Published Online: 05 December 2014

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

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