.png){kind=icon}
返回
A Multiangle Aperture Synthesis Algorithm for Ground-Based Radar Lunar Surface Imaging
.png){kind=icon}
PRE
AI
DOI：10.1109/LGRS.2024.3469572.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
A ground-based radar is a potential technique for lunar surface imaging. However, due to the Earth's rotation, the maximum azimuth resolution is limited for a single observation. To solve this problem, this letter analyzes the feasibility and performance of obtaining multiangle data from different observations and forms large virtual apertures through aperture synthesis. To ensure the quality of synthesized images, an observation baseline selection method is proposed based on the principle of spectrum continuity, specifying that for two noncontinuous observations, there should be a point on each of them whose target-to-radar vectors share the same direction. Besides, an aperture synthesis algorithm based on spectrum compression is proposed to eliminate spectrum aliasing. The effectiveness of the algorithm is verified via computer simulations and real data experiments. By forming a well-focused 500-m resolution image from two noncontinuous observations, the validation of the proposed algorithm has been proved.
Keyword:
Radar imaging
Apertures
Radar
Moon
Imaging
Azimuth
Image resolution
Vectors
Synthetic aperture radar
Signal resolution
Aperture synthesis
baseline selection
ground-based radar
lunar surface imaging
spectrum compression
期刊
IF:
16.4
论文数:
1.0W
被引数:
5.1K
机构
引用论文
.png){kind=icon}
分享收藏分享收藏Ground Cartesian Back-Projection Algorithm for High Squint Diving TOPS SAR Imaging高斜视潜水陀螺SAR成像的地面笛卡尔反投影算法
PREAI
分享收藏A Fast Cartesian Back-Projection Algorithm Based on Ground Surface Grid for GEO SAR Focusing基于地面网格的GEO SAR快速笛卡尔反投影聚焦算法
PREAI
分享收藏 没有更多内容
没有更多内容