基于电磁散射的复杂目标SAR回波与图像仿真

张锐; 洪峻; 明峰

doi:10.3724/SP.J.1146.2009.01657

基于电磁散射的复杂目标SAR回波与图像仿真

doi: 10.3724/SP.J.1146.2009.01657

张锐^{①②③ 洪峻,},
洪峻,
明峰

计量
- 文章访问数: 4068
- HTML全文浏览量: 158
- PDF下载量: 1627
- 被引次数: 0
出版历程
- 收稿日期: 2009-12-31
- 修回日期: 2010-03-19
- 刊出日期: 2010-12-19

SAR Echo and Image Simulation of Complex Targets Based on Electromagnetic Scattering

Zhang Rui^{①②③ 洪峻
,},
Hong Jun,
Ming Feng

摘要

摘要: 复杂目标的SAR图像仿真技术，对于目标识别与解译研究具有重要意义。该文提出的仿真算法，从目标的3维模型出发，运用弹射线原理，通过仿真全方位，全频带的目标散射系数来构建回波并成像。改传统平面波入射为球面波入射，使得算法不仅能够仿真远场成像系统，也适用于近场仿真成像。标准体实验，验证了算法的近远场，全极化，多角度，宽频带的仿真能力；复杂目标的仿真结果，同实测数据相比十分逼真。
- 合成孔径雷达 /
- 弹射线法 /
- SAR回波仿真 /
- 复杂目标
Abstract: SAR image simulation of complex target is very important to radar target recognition and SAR image interpretation. In this paper, the raw echo is simulated by assembling scattering coefficients of the target, under the different aspect and frequency. These coefficients are obtained by applying shooting and bouncing rays technology onto the targets 3D model. Via improving the traditional assumption of incident plane wave as the spherical wave, the algorithm is extended to be suitable for the near-field condition, as well as the far-field. Standard target experiment validate the algorithm can simulate full polarimetry, multiple aspect and wide bandwidth SAR echo. The simulated images of complex targets are very similar to the real data.
- SAR (Synthetic Aperture Radar) /
- SBR (Shooting and Bouncing Rays) /
- SAR echo simulation /
- Complex target

HTML全文

参考文献(1)

Chiang H C and Moses R L. Model-based classification of radar images[J].IEEE Transactions on Information Theory.2000, 46(5):1842-1854[2]Margarit G, Mallorqui J J, and Martinez C L. GRECOSAR, a SAR simulator for complex targets: application to urban environments[C]. International Geoscience and Remote Sensing Symposium (IGARSS), Barcelona, Spain, 2007: 4160-4163.[3]Rius J M, Ferrando M, and Jofre L. GRECO: graphical electromagnetic computing RCS prediction in real time[J]. IEEE Antennas and Propagarion Magazine, 1993, 35(2): 7-17.[4]陈杰, 李少斌等. 一种高分辨率合成孔径雷达的目标散射特性建模方法[P]. 中国专利, No. 200810112009.6, 2008年5月.[5]Andersh D, Moore J, and Kosanovich S, et al.. Xpatch 4 the next generation in high frequency electromagnetic modeling and simulation software[C]. IEEE National Radar Conference, Alexandria, USA, 2000: 844-849.[6]周文明, 宋建社, 郑永安, 徐军. 基于电磁特性SAR图像目标识别模版的建立[J].电光与控制.2008, 15(7):43-47Zhou Wen-ming, Song Jian-she, Zheng Yong-an, and Xu Jun. Establishing target recognition template in SAR images based on electromagnetic characteristics[J].Electronics Optics Control.2008, 15(7):43-47[7]Ling H and Chou R. Shooting and bouncing rays: calculating the RCS of an arbitrarily shaped cavity[J].IEEE Transactions on Antennas and Propagation.1989, 37(2):194-205[8]Soumekh M. Synthetic Aperture Radar Signal Processing with Matlab Algorithms[M]. New York: Wiley, 1999, Chapter 4.[9]盛新庆. 计算电磁学要论[M]. 北京: 科学出版社, 2005: 40-42.Sheng X. Introduction of Computational Electromagnetic [M]. Beijing: Science Press, 2005: 40-42.[10] MSTAR-dataset website: https://www.sdms.afrl.af.mil/ datasets/mstar, 2008.6[11]Zhang R.[J].Hong J, and Ming F. CASpatch: a SAR image simulation code to support ATR applications[C]. 2nd Asia-Pacific Conference on Synthetic Aperture Radar, Xian, China.2009,:-[12]Chen Y, Blasch E, and Chen H, et al.. Experimental feature-based SAR ATR performance evaluation under different operational conditions[C]. Proc. of SPIE, Orlando, USA, 2008, Vol.6968: 69680F.

施引文献

资源附件(0)

访问统计