空间目标多站ISAR优化布站与融合成像方法

马俊涛; 高梅国; 胡文华; 熊娣; 史林

doi:10.11999/JEIT170482

空间目标多站ISAR优化布站与融合成像方法

doi: 10.11999/JEIT170482

基金项目:

国家自然科学基金(61401024)

计量
- 文章访问数: 1125
- HTML全文浏览量: 143
- PDF下载量: 305
- 被引次数: 0
出版历程
- 收稿日期: 2017-05-18
- 修回日期: 2017-10-01
- 刊出日期: 2017-12-19

Optimum Distribution of Multiple Location ISAR and Multi-angles Fusion Imaging for Space Target

Funds:

The National Natural Science Foundation of China (61401024)

摘要

摘要: 对异址多站雷达回波相干融合可以将空间观测视角的分离转换为目标积累时间的增加，提高ISAR像方位分辨率。该文针对在轨空间目标多站ISAR相干融合成像问题，提出一种基于目标轨道先验信息的优化布站方法，提高了回波融合效率；针对多站雷达回波融合处理问题，利用轨道运动模型分析了融合成像平面的空变特性，提出融合回波越距离单元徙动、多普勒时变等问题的解决方法，使多视角回波有效相干融合。利用空间站轨道验证了融合成像平面的空变性，从徙动校正效果及分辨率改善等方面验证了布站及融合算法的有效性。
- ISAR成像 /
- 空间目标 /
- 相干融合 /
- 空变特性
Abstract: The spatially separated observation angles from the multiple inverse synthetic aperture radar sensors can be converted to the accumulation time of the same target, which can improve the cross-range resolution of ISAR image by the coherent fusion of raw echo signals collected from different sensors. To solve the issue of multiple radar sensors coherent fusion ISAR imaging of space target moving on orbit, the radar location optimal method based on the orbital prior of the space target is proposed to improve the efficiency of the echoes fusion, the spatial- variant property of the fusion imaging plane of space target is analyzed using orbital motion model to solve the range Migration Through Resolution Cells (MTRC) and time-varying Doppler. The simulation results based on real orbit of space station confirm the effectiveness of the proposed method.
- ISAR imaging /
- Space target /
- Coherent fusion /
- Spatial-variant property

HTML全文

参考文献(24)

BAO Zheng, XING Mengdao, and WANG Tong. Radar Imaging Technology[M]. Beijing: Publishing House of Electronics Industry, 2005: 230-253.

GUO Baofeng, WANG Junling, GAO Meiguo, et al. Research on spatial-variant property of bistatic ISAR imaging plane of space target[J]. Chinese Physics B, 2015, 24(4): 507-520. doi: 10.1088/1674-1056/24/4/048402.

周叶剑, 张磊, 王虹现, 等. 空间轨道目标的逆合成孔径雷达成像质量分析[J]. 雷达学报, 2017, 6(1): 17-24.

ZHOU Yejian, ZHANG Lei, WANG Hongxian, et al. Performance analysis on ISAR imaging of space targets [J]. Journal of Radars, 2017, 6(1): 17-24. doi: 10.12000/ JR16136.

VANN L D, CUOMO K M, PIOU J E, et al. Multisensor fusion processing for enhanced radar imaging[R]. Lincoln Laboratory, 2000.

LI Zhixi, PAPSON S, and NARAYANAN R M. Data-level fusion of multilook inverse synthetic aperture radar images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(5): 1394-1406. doi: 10.1109/TGRS.2008.916088.

NARAYANAN R M. Multiple location SAR/ISAR image fusion for enhanced characterization of targets[C]. Proceedings of Spie the International Society for Optical Engineering, 2005: 128-139. doi: 10.1117/12.604166.

王琦, 李亚超, 邢孟道, 等. 多视角ISAR成像研究[J]. 西安电子科技大学学报, 2007, 34(2): 165-169. doi: 10.3969/j.issn. 1001-2400.2007.02.001.

WANG Qi, LI Yachao, XING Mengdao, et al. A study of ISAR imaging of spatial diversity angles[J]. Journal of Xidian University, 2007, 34(2): 165-169. doi: 10.3969/j.issn.1001- 2400.2007.02.001.

ZHANG Lei, QIAO Zhijun, XING Mengdao, et al. High- resolution ISAR imaging by exploiting sparse apertures[J]. IEEE Transactions on Antennas and Propagation, 2012, 60(2): 997-1008. doi: 10.1109/TAP.2011.2173130.

吴称光, 邓彬, 苏伍各, 等. 基于块稀疏贝叶斯模型的ISAR成像方法[J]. 电子与信息学报, 2015, 37(12): 2941-2947. doi: 10.11999/JEIT141624.

WU Chengguang, DENG Bin, SU Wuge, et al. ISAR imaging method based on the Bayesian group-sparse modeling[J]. Journal of Electronics Information Technology, 2015, 37(12): 2941-2947. doi: 10.11999/JEIT141624.

许然, 李亚超, 邢孟道. 基于子孔径参数估计的双基地ISAR图像融合方法研究[J]. 电子与信息学报, 2012, 34(3): 622-627. doi: 10.3724/SP.J.1146.2011.00472.

XU Ran, LI Yachao, and XING Mengdao. Research on image

fusion based on sub-aperture parameter estimation for bistatic ISAR[J]. Journal of Electronics Information Technology, 2012, 34(3): 622-627. doi: 10.3724/SP.J.1146.2011.00472.

郭宝锋, 尚朝轩, 高梅国, 等. 基于多圈次轨道观测的空间目标图像融合方法[J]. 探测与控制学报, 2014(2): 30-35.

GUO Baofeng, SHANG Chaoxuan, GAO Meiguo, et al. Image fusion of space target based on multipass observation[J]. Journal of Detection Control, 2014(2): 30-35.

OVLIVER M and EBERHARD G. Satellite Orbits: Models, Methods and Applications[M]. New York: Springer, 2001: 157-168.

CURITIS H D. Orbital Mechanics for Engineering Students 2nd[M]. Burlington: Elsevier, 2010: 72-85.

熊志昂, 李红瑞, 赖顺香. GPS技术与工程应用[M]. 北京: 国防工业出版社, 2005, 第2章.

XIONG Zhiang, LI Hongrui, and LAI Shunxiang. GPS technology and engineering application[M]. Beijing: National Defence Industry Press, 2005, Chapter 2.

BOWRING B R. The accuracy of geodetic latitude and height equations[J]. Survey Review, 1985, 28(218): 202-206.

WANG J and LIU X. Improved global range alignment for ISAR[J]. IEEE Transactions on Aerospace and Electronic Systems, 2007, 39(1): 351-357. doi: 10.1109/TAES.2007. 4383594.

NOVIELLO C, FORNARO G, BRACA P, et al. Fast and accurate ISAR focusing based on a Doppler parameter estimation algorithm[J]. IEEE Geoscience and Remote Sensing Letters, 2017, 14(3): 349-353. doi: 10.1109/LGRS. 2016.2641498.

施引文献

资源附件(0)

访问统计