Compressive sensing based joint wall position detection and multipath exploitation in through-the-wall radar imaging

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

6 Scopus citations

Abstract

In through-the-wall radar imaging, ghost targets can arise because of multipath reflections. Having a model that compensates for the multipath returns solves this problem; however this requires the knowledge of the room geometry. If wrong information about the room geometry is used in the model, the obtained image will be denser than the image of the true scene. This paper proposes a multipath exploitation method that utilizes this fact. A greedy search is performed to find the wall positions that produce the sparsest image of the desired scene. Hence, detecting the true wall positions and obtaining a ghost-free image. Simulation results demonstrate the effectiveness of the proposed method.

Original languageEnglish
Title of host publication9th International Symposium on Image and Signal Processing and Analysis, ISPA 2015
EditorsSven Loncaric, Robert Bregovic, Dick Lerski, Hannu Eskola
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages260-264
Number of pages5
ISBN (Electronic)9781467380324
DOIs
StatePublished - 23 Oct 2015

Publication series

Name9th International Symposium on Image and Signal Processing and Analysis, ISPA 2015

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • compressive sensing
  • multipath exploitation
  • through-the-wall radar imaging

ASJC Scopus subject areas

  • Signal Processing
  • Computer Vision and Pattern Recognition

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