| 引用本文： |
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谢建志,田甲申,吴 堃,等.基于BP和CS相结合的圆周SAR三维成像算法[J].电讯技术，2013，53（7）：849 - 854. [点击复制]
- XIE Jian-zhi,TIAN Jia-shen,WU Kun,et al.Three-Dimensional Imaging Algorithm for Circular SAR Based on Combination of BP and CS[J].，2013，53（7）：849 - 854. [点击复制]
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| 摘要: |
| 与传统的直线SAR 相比，圆周SAR(CSAR)具有对场景进行三维成像的能力，但对于一
般的目标，其有效孔径只是一定角度的圆弧而非完整圆周孔径，使得圆周SAR只能获得航迹
向和斜距向的高分辨率，影响了其三维成像能力，所以现在通常采用沿着不同高度角进行多
次观测的多航过圆周SAR模式来实现三维成像。针对多航过圆周SAR由于多航过稀疏并且
非均匀采样而严重影响成像质量的问题，提出一种将BP算法和压缩传感算法（CS）结合的三
维成像算法。该算法先利用BP算法实现每一次航过数据的二维成像，再利用压缩传感算法进
行高度向聚焦，来改善高度向的聚焦质量，最后将实测数据成像结果和传统的三维BP算法的
结果进行比较，证明该算法可以有效地抑制旁瓣，得到超分辨的三维成像结果。 |
| 关键词: 周SAR 多航过实测数据 三维成像 BP CS |
| DOI：10.3969/j.issn.1001-893x.2013.07.005 |
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| 基金项目:高等学校博士学科点专项科研基金资助项目(20110185110001) |
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| Three-Dimensional Imaging Algorithm for Circular SAR Based on Combination of BP and CS |
| XIE Jian-zhi,TIAN Jia-shen,WU Kun,ZHANG Xiao-ling |
| () |
| Abstract: |
| The Circular Synthetic Aperture Radar (CSAR), unlike the linear SAR, h
as the capability to extract three-dimensional imaging information of a target
scene. Its effective aperture is not the whole circular aperture but an arc for
general target. This causes CSAR to only own the high resolution of along-track
direction and slant-range direction, and the three dimension imaging ability is w
eak, so multi-pass CSAR is adopted to realize three dimensional target construct
ion. According to the problem that multi-pass CSAR usually has sparse and non-u
niform elevation samples, this paper proposes a three-dimension image formation
algorithm based on the combination of Back Projection (BP) and Compressed Sensing
(CS). The algorithm first uses BP algorithm to realize the two-dimensional image
of single-pass data, and then uses CS algorithm to focus height dimension, to
improve the high quality of the focus. Finally the measured data with t
he proposed algorithm is compared with the results of the proposed algorithm and
BP algorithm′s to prove that the proposed algorithm can effectively inhibit side-
lobe and improve the resolution. |
| Key words: circular SAR multiple-pass measured data three-dimension image formation BP CS |
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