Gökdoğan, Bengisu Yalçınkaya

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Profile URL
https://hdl.handle.net/20.500.14411/6925
Name Variants
Gökdoğan,B.Y.
G., Bengisu Yalçınkaya
G.,Bengisu Yalçınkaya
Gökdoğan B.
G., Bengisu Yalcinkaya
Gokdogan B.
B.,Gökdoğan
G.,Bengisu Yalcinkaya
Bengisu Yalcinkaya, Gokdogan
Gokdogan, Bengisu Yalcinkaya
B. Y. Gokdogan
Bengisu Yalçınkaya, Gökdoğan
B. Y. Gökdoğan
B.Y.Gökdoğan
Yalcinkaya B.
Gökdoğan, Bengisu Yalçınkaya
Gokdogan,B.Y.
B.Y.Gokdogan
Yalcinkaya, Bengisu
B., Gokdogan
Job Title
Araştırma Görevlisi
Email Address
bengisu.yalcinkaya@atilim.edu.tr
Main Affiliation
Electrical-Electronics Engineering
Status
Website
ORCID ID
0000-0003-3644-0692
Scopus Author ID
57736344000
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
ABD-4291-2020

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14

Citations

37

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Documents

14

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30

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Scholarly Output

14

Articles

9

Views / Downloads

64/46

Supervised MSc Theses

0

Supervised PhD Theses

0

WoS Citation Count

30

Scopus Citation Count

39

Patents

0

Projects

0

WoS Citations per Publication

2.14

Scopus Citations per Publication

2.79

Open Access Source

4

Supervised Theses

0

JournalCount
30th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 15-18, 2022 -- Safranbolu, TURKEY2
Wireless Personal Communications2
Computer Applications in Engineering Education1
Electronics1
IEEE International Black Sea Conference on Communications and Networking (IEEE BlackSeaCom) -- MAY 24-28, 2021 -- ELECTR NETWORK1
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Author: Aydin, ElifHas files: false

Scholarly Output Search Results

Now showing 1 - 6 of 6
  • Thumbnail Image
    Article
    Low Signature UAVs: Radar Cross Section Analysis, Simulation, and Measurement in X-Band
    (Springer London Ltd, 2025) Unalir, Dizdar; Yalcinkaya, Bengisu; Aydin, Elif
    The increasing prevalence of unmanned aerial vehicles (UAVs) is driving the development of radar systems capable of detecting them. This hampers the deployment of UAVs in military operations. While radar cross section reduction (RCSR) can be a valuable solution, the research on this subject is inadequate. This paper presents an RCSR approach adopting a shaping technique for UAVs, demonstrating the proposed approach's efficacy through simulations and actual experimental measurements performed in X-Band on a four-legged UAV model. Using electromagnetic computational instruments, the shaping is applied to the designed UAV model with parameter-based simulations, the simulated radar cross section (RCS) values are derived, and the comparative analysis of these instruments is conducted. Experimental measurements are performed in laboratory conditions using a vector network analyzer. Actual measurement results are validated by simulative findings with the examination of the influence of frequency, polarization, and aspect angle on RCS. The demonstrated measuring approach allows cost-effective and easily applicable research on RCS in X-Band, a commonly utilized frequency range in military. An average RCSR of 10 dBsm has been accomplished with the presented shaping approach.
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    Conference Object
    Citation - WoS: 2
    Citation - Scopus: 5
    Low Radar Cross Section Uav Design in X-Band
    (Ieee, 2022) Unalir, Dizdar; Sezgin, Sila; Yuva, Cansu Sena; Yalcinkaya Gokdogan, Bengisu; Aydin, Elif; Gokdogan, Bengisu Yalcinkaya
    As Unmanned Aerial Vehicles (UAVs) have become widespread in defense industry, the radar technology that can detect them has also improved. These improvements cause UAVs to be detected more easily, which limits their effectiveness in military usage. Although the reduction of the radar cross-section (RCS) can provide a solution to this issue, the studies regarding that is insufficient in the literature. In this study, a shaping method is recommended to reduce the RCS of UAVs, and it is shown the method is effective to address the problem. Firstly, using a simulation tool, an UAV model is designed from simple shapes and the model is validated by comparing it with the ones in literature. Secondly, RCS values are measured using vertical and horizontal polarization throughout 360 degrees by incrementing the aspect angle by one degree in X-Band using the CST Studio Suite environment. Then, considering the hardware and aerodynamic requirements as well as limitations of the UAV model, a shaping technique is applied to the body, legs and the hollow parts of the UAV model with parametric simulations. The results show that the recommended shaping technique can provide a significant reduction in the RCS of an UAV.
  • Thumbnail Image
    Conference Object
    Citation - WoS: 2
    Citation - Scopus: 2
    Radar Cross Section Studies of Low Signature UAVs in X-Band: Simulation, Measurement and Performance Evaluation
    (IEEE, 2024) Unalir, Dizdar; Gokdogan, Bengisu Yalcinkaya; Aydin, Elif
    In this study, the effectiveness of a radar cross section (RCS) reduction method based on a proposed shaping technique for four-legged unmanned aerial vehicles (UAV) has been proven with simulation tools and experimental measurements in X-Band. Simulative RCS values were obtained with CST and HFSS electromagnetic calculation tools, and the advantages of these tools compared to each other were examined. Experimental measurements were carried out in a laboratory environment with a vector network analyzer (VNA) and confirmed with simulation results. The effects of frequency, polarization and aspect angle factors on RCS were examined. It has been shown that with the proposed measurement method, low-cost and easily applicable RCS analysis can be performed in X-Band, one of the frequency bands frequently used in the defense industry. With the proposed shaping method, RCS reduction in the range of 5-10 dBsm was achieved.
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    Conference Object
    Citation - WoS: 1
    Citation - Scopus: 2
    Uav Detection and Ranging With 77-81 Ghz Fmcw Radar
    (Ieee, 2022) Doganay, Bengisu; Arslan, Mustafa; Demir, Efe Can; Coruk, Remziye Busra; Gokdogan, Bengisu Yalcinkaya; Aydin, Elif
    In this study, detection of unmanned aerial vehicles (UAV), determination of radar cross-section (RCS) values, and range estimation were performed using a commercial off-the-shelf (COTS) millimeter-wave Frequency Modulated Continuous Wave (mmWave FMCW) radar system in the 77-81 GHz frequency band. The measurements were carried out in a laboratory environment using a single transceiver antenna without the need for an anechoic chamber. RCS values of different vertically and horizontally positioned UAVs were measured experimentally along the 360 degrees aspect angle, and the simulated results obtained from computational tool were compared with the experimental results. The measurement and simulation results, together with the range estimation, matched with high accuracy.
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    Conference Object
    Model Enhancement for UAV Stealth in X-Band
    (IEEE, 2025) Unalir, Dizdar; Yalcinkaya, Bengisu; Aydin, Elif
    With the rapid advancement of technology, radar detection techniques continue to evolve, challenging the effectiveness of traditional unmanned aerial vehicles (UAVs) stealth techniques. As the usage of UAVs in military applications expands, the need for effective radar cross section reduction (RCSR) methods to enhance their stealth capabilities has grown significantly. In this study, we propose an enhancement of a previously developed Low-RCS UAV model, focusing on RCSR with shaping technique in the X-band. For the identification and optimization of the UAV model's highly reflective components, a detailed simulative analysis of the RCS was performed using CST Studio Suite Environment. The modifications are applied to the body and leg components to minimize radar reflections. Simulation results demonstrated that the proposed enhancements significantly reduced RCS values compared to the original Low-RCS UAV model. A total of 13 dBsm reduction in RCS was observed compared to the traditional UAV models. Comparative analysis for different frequencies in X-Band and various aspect angles confirmed the effectiveness of the improved design, validating its potential for stealth applications. The findings can contribute to the research in UAV stealth technology and provide insights into future low-visibility UAV designs.
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    Article
    Citation - WoS: 2
    Citation - Scopus: 2
    Millimeter-Wave Sar Imaging for Sub-Millimeter Defect Detection With Non-Destructive Testing
    (Mdpi, 2025) Yalcinkaya, Bengisu; Aydin, Elif; Kara, Ali
    This paper introduces a high-resolution 77-81 GHz mmWave Synthetic Aperture Radar (SAR) imaging methodology integrating low-cost hardware with modified radar signal characteristics specifically for NDT applications. The system is optimized to detect minimal defects in materials, including low-reflectivity ones. In contrast to the existing studies, by optimizing key system parameters, including frequency slope, sampling interval, and scanning aperture, high-resolution SAR images are achieved with reduced computational complexity and storage requirements. The experiments demonstrate the effectiveness of the system in detecting optically undetectable minimal surface defects down to 0.4 mm, such as bonded adhesive lines on low-reflectivity materials with 2500 measurement points and sub-millimeter features on metallic targets at a distance of 30 cm. The results show that the proposed system achieves comparable or superior image quality to existing high-cost setups while requiring fewer data points and simpler signal processing. Low-cost, low-complexity, and easy-to-build mmWave SAR imaging is constructed for high-resolution SAR imagery of targets with a focus on detecting defects in low-reflectivity materials. This approach has significant potential for practical NDT applications with a unique emphasis on scalability, cost-effectiveness, and enhanced performance on low-reflectivity materials for industries such as manufacturing, civil engineering, and 3D printing.