An Analysis for the Use of Compressed Sensing Method in Microwave Imaging
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Date
2017
Authors
Yiğit, Enes
Tekbaş, Mustafa
Ünal, İlhami
Erdoğan, Sercan
Çalışkan, Cafer
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
One of the most important problems encountered in microwave imaging methods is intensive data processing traffic that occurs when high resolution and real time tracking is desired. Radar signals can be recovered without loss of data with a randomly selected subset of the measurement data by compression sensing (CS) method which has been popular in recent years. For this reason, in this study, the use and capabilities of the CS method were investigated for tracking moving human, and the target information was correctly determined for the data obtained much below the Nyquist sampling criterion. In this study, it was revealed that the CS method can be developed for target detection and tracking
Description
Keywords
Compressed sensing, Microwave imaging
Turkish CoHE Thesis Center URL
Citation
1
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