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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original languageEnglish
Title of host publicationICSP 2014 - 2014 IEEE 12th International Conference on Signal Processing, Proceedings
EditorsBaozong Yuan, Qiuqi Ruan, Xiaofang Tang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1958-1962
Number of pages5
EditionOctober
ISBN (Electronic)9781479921881
DOIs
StatePublished - 2014
Externally publishedYes
Event12th IEEE International Conference on Signal Processing, ICSP 2014 - Hangzhou, China
Duration: 19 Oct 2014 → 23 Oct 2014

Publication series

NameInternational Conference on Signal Processing Proceedings, ICSP
NumberOctober
Volume2015-January
ISSN (Print)2164-5221
ISSN (Electronic)2164-523X

Conference

Conference12th IEEE International Conference on Signal Processing, ICSP 2014
Country/TerritoryChina
CityHangzhou
Period19/10/14 → 23/10/14

Keywords

  • Helicopter
  • Keystone transform
  • Paired echoes
  • Synthetic aperture radar (SAR)
  • Terahertz (THz)

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