An improved ghost imaging method with resolution analysis

Shiyi Yang, Zhenghui Xue, Wu Ren, Weiming Li, Qingyun Zeng

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

By applying traditional ghost imaging method in optical systems to microwave field, super-resolution could be realized ignoring Rayleigh criterion. In this paper, an improved ghost imaging method is proposed to provide quality imaging results based on Tikhonov regularization and wavelet transform. Tikhonov regularization is used to solve the sparse problem, while the wavelet transform is used to locate the edge of the target. An effective rank theory is used to provide a reference for the validity of the preset resolution ratio. By using this method, the azimuth and range dimension of the target can be located accurately. This calculation method is verified by modeling using CST MWS. A series of waveguide slot antennas are used to provide detection fields and a horn antenna is used as receiving antenna. The modeling results proved the feasibility of the whole method.

Original languageEnglish
Title of host publicationProceedings of the 2019 IEEE Asia-Pacific Microwave Conference, APMC 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1065-1067
Number of pages3
ISBN (Electronic)9781728135175
DOIs
Publication statusPublished - Dec 2019
Event2019 IEEE Asia-Pacific Microwave Conference, APMC 2019 - Singapore, Singapore
Duration: 10 Dec 201913 Dec 2019

Publication series

NameAsia-Pacific Microwave Conference Proceedings, APMC
Volume2019-December

Conference

Conference2019 IEEE Asia-Pacific Microwave Conference, APMC 2019
Country/TerritorySingapore
CitySingapore
Period10/12/1913/12/19

Keywords

  • Ghost imaging
  • Resolution analysis
  • Tikhonov regularization
  • Wavelet transform

Fingerprint

Dive into the research topics of 'An improved ghost imaging method with resolution analysis'. Together they form a unique fingerprint.

Cite this