跳到主要导航 跳到搜索 跳到主要内容

An Improved Omega-K Algorithm for Squinted SAR With Curved Trajectory

  • Northwestern Polytechnical University Xian

科研成果: 期刊稿件文章同行评审

7 引用 (Scopus)

摘要

The omega-K algorithm (ω KA) is an accurate imaging method for squinted synthetic aperture radar (SAR) with linear trajectory. However, for SARs with curved trajectory, since it does not allow the radar velocity to vary with range, the imaging quality would degrade severely. To address this issue, an improved ω KA is proposed in this letter. We design a special Stolt mapping to avoid the complex additional range cell migration (RCM) and the skew of the data support region. Then, the RCM correction (RCMC) and azimuth compression are operated in the range Doppler domain. With these improvements, the radar velocity is allowed to vary with range, which greatly reduces the phase error in the case of large range swaths. Numerical results validate the proposed algorithm.

源语言英语
文章编号4000905
页(从-至)1-5
页数5
期刊IEEE Geoscience and Remote Sensing Letters
21
DOI
出版状态已出版 - 2024

指纹

探究 'An Improved Omega-K Algorithm for Squinted SAR With Curved Trajectory' 的科研主题。它们共同构成独一无二的指纹。

引用此