Reconstruction of through-the-wall imaging radar signals by compressive sensing

Türk, Ahmet Serdar; Ozkan-Bakbak, Pinar; Durak–Ata, Lütfiye; Orhan, Melek; Ünal, Mehmet

doi:10.1109/sps.2015.7168258

Cited by 1 publication

(1 citation statement)

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“…Nevertheless, this case will degrade the image resolution, which will cause hard-recognition of small buried objects. To reduce the clutter effect on B-scan plot, the reference signal is collected at the non-target position of the space [23]. If the transmission coefficient S 21 , which depends on time is symbolized by T, then background removed A-scan signal is calculated as where, a i is each A-scan data obtained from initial clear region and N is its number, a B represents the non-target background signal (3) and a BR corresponds to background removed A-scan signal (4).…”

Section: Data Acquisition and Test Measurementmentioning

confidence: 99%

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

Türk

Ozkan-Bakbak

Durak–Ata

et al. 2016

Int. J. Microw. Wireless Technol.

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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.

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Section: Data Acquisition and Test Measurementmentioning

confidence: 99%