跳到主要导航 跳到搜索 跳到主要内容

An Improved Range-Doppler Imaging Algorithm Based on High-Order Range Model for Near-Field Panoramic Millimeter-Wave ArcSAR

  • Haochuan Wang
  • , Bing Sun*
  • , Chunsheng Li
  • , Yuming Jiang
  • , Wei Yang
  • *此作品的通讯作者
  • Beihang University

科研成果: 期刊稿件文章同行评审

摘要

The ground-based arc synthetic aperture radar (ArcSAR) can realize panoramic observation by utilizing the circular motion of the antenna. Since the circular trajectory of the antenna brings complicated high-order range-azimuth coupling in echo signal, far-field approximation (FFA), reference range approximation, or second-order series approximation to the range model are commonly applied for the conventional fast imaging algorithms to decouple the range-azimuth coupling. However, when a wide-beam millimeter-wave radar system is adopted to realize centimeter-level high-resolution imaging for near-field observation, these approximate treatments will cause severe defocusing in the image. In this article, an improved range-Doppler (RD) imaging algorithm is proposed. The high-order Taylor series approximation to the range model is adopted to meet the error requirement in the near-field wide-beam condition. By using the series inversion method, the analytical expressions for range migration and azimuth matched filter in RD domain are derived to achieve range-azimuth decoupling and precise azimuthal focusing within the whole range swath. Simulations and real-data experiments demonstrate that the proposed algorithm can achieve fast and accurate imaging, which can greatly support the millimeter-wave ArcSAR in near-field observation applications.

源语言英语
文章编号5211016
期刊IEEE Transactions on Geoscience and Remote Sensing
61
DOI
出版状态已出版 - 2023

指纹

探究 'An Improved Range-Doppler Imaging Algorithm Based on High-Order Range Model for Near-Field Panoramic Millimeter-Wave ArcSAR' 的科研主题。它们共同构成独一无二的指纹。

引用此