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Journal of Electrical and Computer Engineering
Volume 2017 (2017), Article ID 8301016, 7 pages
Research Article

An Experimental Study and Concept Evaluation on Tree-Interior Imaging Radar Using Sinusoidal Template-Based Focusing Algorithm

Department of Electrical and Electronics Engineering, Mersin University, Ciftlikkoy 33343, Mersin, Turkey

Correspondence should be addressed to Serhat Gökkan

Received 6 June 2017; Accepted 14 September 2017; Published 1 November 2017

Academic Editor: Ping Feng Pai

Copyright © 2017 Betül Yılmaz et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


An algorithm for detecting cavities inside a tree-body is presented with simulation and measured examples. The details of the imaging algorithm that is based on sinusoidal template focusing routine are given. First, the algorithm is tested with the simulation scenario for which perfect reconstruction of the simulated cavity structure together with tree-body is successfully formed in MATLAB programming environment. Then, the algorithm is applied to the measurement data that have been collected from a laboratory set-up. Collected backscattered measurements from the tree-body (with cavity) structure are used to generate the image of the scene by the help of our proposed algorithm. The resultant radar images of the measured data collected from the laboratory arrangement have shown the applicability of the developed algorithm for the detection of cavity structures inside tree-bodies.