.png){kind=icon}
返回
Single Range Data-Based Clutter Suppression Method for Multichannel SAR
.png){kind=icon}
PRE
AI
DOI：10.1109/LGRS.2021.3072411.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Although space-time adaptive processing (STAP) is recognized as the optimal clutter suppression way for synthetic aperture radar (SAR) in theory, the deficient of independent and identically distributed range samples in real scenario limits its application. The reduce-dimension STAP methods can decrease the demand for range samples, but the assumption of moving target-free is always unsatisfied. The direct data domain methods only use the data of the range cell under test (RCUT) to avoid the assumption, but they are conducive to interference suppression than clutter suppression and have huge computational burden. Thus, in this letter, a single range data-based STAP method is proposed not only exploring the space-time statistical properties of clutter to suppress it, but also operating solely on the RCUT without recourse to range samples. Theoretical analyses and simulation results verify the effectiveness of the proposed method.
Keyword:
Clutter
Synthetic aperture radar
Simulation
Eigenvalues and eigenfunctions
Couplings
Azimuth
Matrix converters
Clutter suppression
single range data
space-time adaptive processing (STAP)
synthetic aperture radar (SAR)
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
16.4
论文数:
1.0W
被引数:
5.1K
机构
引用论文
.png){kind=icon}
Antioxidant and hepatoprotective effects of Oxalis corniculata against carbon tetrachloride (CCl4) induced injuries in ratOxalis corniculata 对四氯化碳（CCl4）诱导的大鼠损伤的抗氧化和肝保护作用
PREAI
分享收藏分享收藏
查看更多内容