Browsing by Author "Bilgin, Egemen"

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    Frekans Seçici Yüzeyler ile Mikroşerit Yama Antenin Radar Kesit Alanının Azaltılması
    (Institute of Electrical and Electronics Engineers Inc., 2025) Metin, Ahmet Resul; Aydin, Irem; Bilgin, Egemen
    In this study, the radar cross section (RCS) of a microstrip patch antenna was reduced via frequency selective surfaces (FSS). Since microstrip antennas are frequently used in military platforms, antenna design with low radar cross section will contribute to the general efforts towards reducing RCA. First, a microstrip antenna with a center frequency of 5 GHz was designed and a FSS that acts as a reflector at this frequency was developed. Here, the expectation from the FSS is to act as a reflector at the center frequency and to have a transmissive behavior at other frequencies, contributing to the reduction of the radar cross section. By integrating the designed FSS structure into the ground plane of the antenna, RCA reduction was achieved in different bands without shifting the center frequency. According to the simulations, the designed antenna has a 10 dB lower radar cross section in the X band. © 2025 Elsevier B.V., All rights reserved.
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    Mikrodalga Tomografi ile Doku İçindeki Yabancı Unsurların Konumlandırılması
    (Institute of Electrical and Electronics Engineers Inc., 2025) Aydin, Pelinsu; Guler, Gokcenaz; Togar, Ayca; Bilgin, Egemen
    The aim of medical imaging systems is to detect harmful elements such as tumors in biological tissues via non-invasive methods. To this end, a low-cost and unharmful microwave tomography system is proposed in this study. S-parameters, which are related to the scattered field, are measured with wide-band Vivaldi antennas placed around the examined tissue. These parameters are calibrated by analytical scattered field to increase data quality. Then, an inverse scattering problem is formulated using them as data and solved via Reverse Time Migration (RTM) and Multiple Signal Classification (MUSIC) methods. This solution produces an indicator function indicating the location of the foreign element within the tissue. The proposed method has been tested with simulations in the CST environment. The results show that the system can successfully detect single or multiple foreign substances in the tissue. © 2025 Elsevier B.V., All rights reserved.