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Journals / Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi / 2026 / Cilt: 26 Sayı: 1

Radar Based Systems Design and Optimization for Biomedical Applications

Biyomedikal Uygulamalar için Radar Tabanlı Sistem Tasarımı ve Optimizasyonu

Şahin Yıldız(DİCLE ÜNİVERSİTESİ)0009-0000-2139-5361
Muhammed Bahaddin Kurt(DİCLE ÜNİVERSİTESİ)0000-0001-9047-6122
Pages
102–110
Publication Date
2026-01-19
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It was concluded that these movements can be interpreted in biomedical applications with signal processing techniques.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Radar-based systems have great potential for interpreting motion-based objects using the Doppler effect.
📊
Key Findings & Data:The operating frequency of the antennas has been increased from 2.36 GHz to 2.40 GHz.
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Conclusion & Impact:It was concluded that these movements can be interpreted in biomedical applications with signal processing techniques.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Radar anten · Biyomedikal uygulamalar · Optimizasyon

Abstract

Radar-based systems have great potential for interpreting motion-based objects using the Doppler effect. In recent years, various radar-based studies have been conducted to characterize movement-indexed vital signs, tissues, and organs. In this study, it is aimed to develop a radar system for biomedical applications. The radar system is created by combining various components. These components consist of antenna, modulator, microwave and low-pass filter circuit. Antennas are important components of the radar system. Antennas have been optimized with geometric changes. The operating frequency of the antennas has been increased from 2.36 GHz to 2.40 GHz. Radar antenna gain has been improved by increasing from 3.02 dB to 3.67 dB. The return loss has been increased from -19 dB to -28 dB. An analog-digital converter is used in the radar system for traceability of the signal reflected from the target. A moving object was placed in front of the radar system and the signals reflected from the target were monitored. It was observed that the signal amplitude was between 3 and 3.4 during the time-period when the target object was far away from the system. In close-range measurement, it was observed that the signal amplitude was between 2.8 and 3.8. It was concluded that these movements can be interpreted in biomedical applications with signal processing techniques.

Özet

Radar-based systems have great potential for interpreting motion-based objects using the Doppler effect. In recent years, various radar-based studies have been conducted to characterize movement-indexed vital signs, tissues, and organs. In this study, it is aimed to develop a radar system for biomedical applications. The radar system is created by combining various components. These components consist of antenna, modulator, microwave and low-pass filter circuit. Antennas are important components of the radar system. Antennas have been optimized with geometric changes. The operating frequency of the antennas has been increased from 2.36 GHz to 2.40 GHz. Radar antenna gain has been improved by increasing from 3.02 dB to 3.67 dB. The return loss has been increased from -19 dB to -28 dB. An analog-digital converter is used in the radar system for traceability of the signal reflected from the target. A moving object was placed in front of the radar system and the signals reflected from the target were monitored. It was observed that the signal amplitude was between 3 and 3.4 during the time-period when the target object was far away from the system. In close-range measurement, it was observed that the signal amplitude was between 2.8 and 3.8. It was concluded that these movements can be interpreted in biomedical applications with signal processing techniques.

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Cite This Article

Yıldız, Ş., Kurt, M. B. (2026). Radar Based Systems Design and Optimization for Biomedical Applications. Afyon Kocatepe Üniversitesi Fen ve Mühendislik Bilimleri Dergisi, Cilt: 26 Sayı: 1, 102–110. https://doi.org/10.35414/akufemubid.1670408

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