Abstract
The utilization of ultra-wideband (UWB) radars for vital sign detection is increasingly expanding. For detecting low level biological signals with UWB radar, the gain of the antenna integrated with the radar is crucial. In this study, it has been demonstrated that integrating frequency-selective surface (FSS) reflector, designed to enhance the gain of a patch antenna array, improves the radar's performance in detecting respiration signals through the implementation of advanced signal processing algorithms. Two element patch antenna array and FSS reflector were fabricated and subjected to performance tests. Subsequently, in the developed system, which incorporates noise and clutter removal algorithms, variance statistics, and the Variational Mode Decomposition (VMD) algorithm, the target distance and respiration frequency were extracted from the measurement data. The findings of this study confirm that the integration of the FSS reflector with the antenna array significantly enhances the radar's capability in vital sign detection applications.
| Translated title of the contribution | Improving Vital Sign Detection Performance of Radar Sensors with Frequency Selective Surface Reflector |
|---|---|
| Original language | Turkish |
| Title of host publication | 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331566555 |
| DOIs | |
| Publication status | Published - 2025 |
| Event | 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Istanbul, Turkey Duration: 25 Jun 2025 → 28 Jun 2025 |
Publication series
| Name | 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings |
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Conference
| Conference | 33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 |
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| Country/Territory | Turkey |
| City | Istanbul |
| Period | 25/06/25 → 28/06/25 |
Bibliographical note
Publisher Copyright:© 2025 IEEE.
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