跳到主要导航 跳到搜索 跳到主要内容

A novel helicopter-borne terahertz SAR imaging algorithm based on Keystone transform

  • Huan Wang
  • , Yuan Zhang
  • , Bingbing Wang
  • , Jinping Sun
  • Beihang University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

The instability of helicopter flight brings motion errors in the conventional synthetic aperture radar (SAR) imaging. Combined with terahertz (THz) technology, the influence of range migration and low frequency motion error can be significantly reduced. However, it leads the system to be extremely sensitive to platform vibration, which causes paired echoes and deteriorates image quality. A method on platform vibration compensation is proposed in this paper. On the basis of the analytic formula derivation in 2-D frequency domain for the signal, Keystone transform is employed to perform range migration correction. Then platform vibration is compensated in range-Doppler domain. Finally, deghosted images are obtained. The simulation results validate the effectiveness.

源语言英语
主期刊名ICSP 2014 - 2014 IEEE 12th International Conference on Signal Processing, Proceedings
编辑Baozong Yuan, Qiuqi Ruan, Xiaofang Tang
出版商Institute of Electrical and Electronics Engineers Inc.
页1958-1962
页数5
版本October
ISBN(电子版)9781479921881
DOI
出版状态已出版 - 2014
已对外发布是
活动12th IEEE International Conference on Signal Processing, ICSP 2014 - Hangzhou, 中国
期限: 19 10月 2014 → 23 10月 2014

丛书

姓名International Conference on Signal Processing Proceedings, ICSP
编号October
卷2015-January
ISSN(印刷版)2164-5221
ISSN(电子版)2164-523X

会议

会议12th IEEE International Conference on Signal Processing, ICSP 2014
国家/地区中国
市Hangzhou
时期19/10/14 → 23/10/14

学术指纹

探究 'A novel helicopter-borne terahertz SAR imaging algorithm based on Keystone transform' 的科研主题。它们共同构成独一无二的学术指纹。

引用此