ISAR Imaging Motion Compensation in Low SNR Environments Using Phase Gradient and Filtering Techniques

IEEE Transactions on Aerospace and Electronic Systems(2021)

引用 2|浏览15
暂无评分
摘要
In a low signal-to-noise ratio (SNR) environment, conventional range profiles-based motion compensation (MoCo) methods become inapplicable for inverse synthetic aperture radar (ISAR) imaging. In this article, a novel method for range profile alignment along with phase adjustment is proposed. The method is applied in the uncompressed phase history domain without the need for a prominent point. Moti...
更多
查看译文
关键词
Radar imaging,Radar,Imaging,Signal to noise ratio,Transforms,Radar scattering,Mathematical model
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要