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 language | English |
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Title of host publication | 9th International Symposium on Image and Signal Processing and Analysis, ISPA 2015 |
Editors | Sven Loncaric, Robert Bregovic, Dick Lerski, Hannu Eskola |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 260-264 |
Number of pages | 5 |
ISBN (Electronic) | 9781467380324 |
DOIs | |
State | Published - 23 Oct 2015 |
Publication series
Name | 9th International Symposium on Image and Signal Processing and Analysis, ISPA 2015 |
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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