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High-resolution signal processing techniques for through-the-wall imaging radar systems

Published online by Cambridge University Press:  29 April 2016

Ahmet Serdar Turk ,
Pinar Ozkan-Bakbak ,
Lutfiye Durak-Ata ,
Melek Orhan  and
Mehmet Unal
Ahmet Serdar Turk*
Affiliation:
Yildiz Technical University, Davutpasa Campus, 34220 Istanbul, Turkey. Phone: +90 212 383 58 80
Pinar Ozkan-Bakbak*
Affiliation:
Yildiz Technical University, Davutpasa Campus, 34220 Istanbul, Turkey. Phone: +90 212 383 58 80
Lutfiye Durak-Ata
Affiliation:
Istanbul Technical University, Ayazaga Campus, 34469 Istanbul, Turkey
Melek Orhan
Affiliation:
Yildiz Technical University, Davutpasa Campus, 34220 Istanbul, Turkey. Phone: +90 212 383 58 80
Mehmet Unal
Affiliation:
Yildiz Technical University, Davutpasa Campus, 34220 Istanbul, Turkey. Phone: +90 212 383 58 80
*
Corresponding authors:A. S. Turk and P. Ozkan-Bakbak Email: {asturk,pozkan}@yildiz.edu.tr
Corresponding authors:A. S. Turk and P. Ozkan-Bakbak Email: {asturk,pozkan}@yildiz.edu.tr
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Abstract

Through-the-Wall Imaging is an ever-expanding area in which processing time, scanning time, vertical, and horizontal resolutions have been tried to improve. In this study, several methods are investigated to obtain efficient reconstruction of through-the-wall imaging radar signals with high resolution. Microwave radar signals, which are produced in YTU Microwave Laboratory, are processed by compressive sensing (CS). B and C scanned reflection data samples collected between 1 and 7 GHz frequency band are taken randomly at 1/4, 1/2 of whole amount and reconstructed by CS method. Considering the signal structure, 10 and 20 compressible Fourier coefficients are taken through CS to analyze the difference between them. In addition, we applied synthetic aperture radar (SAR) processing, also combined with SAR-Multiple Signal Classification over raw data. Experimental performance results are given and shown in the figures with high quality.

Keywords

Compressive sensingGround penetrating radarThrough-the-wall imagingSynthetic aperture radarMultiple signal classificationStepped frequency radar
Type
Research Papers
Information
International Journal of Microwave and Wireless Technologies , Volume 8 , Special Issue 6: Signal Processing Symposium 2015 , September 2016 , pp. 855 - 863
Copyright
Copyright © Cambridge University Press and the European Microwave Association 2016 

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