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Radar Sens rlerinin Frekans Se ici Y zey Yansitici ile Hayati Isaret Tespit Performansinin Iyile stirilmesi

Translated title of the contribution: Improving Vital Sign Detection Performance of Radar Sensors with Frequency Selective Surface Reflector
  • Ercan Koseni*
  • , Fatih Korkmaz
  • , Ozgur Ozdemir
  • *Corresponding author for this work
  • Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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 contributionImproving Vital Sign Detection Performance of Radar Sensors with Frequency Selective Surface Reflector
Original languageTurkish
Title of host publication33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331566555
DOIs
Publication statusPublished - 2025
Event33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Istanbul, Turkey
Duration: 25 Jun 202528 Jun 2025

Publication series

Name33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025 - Proceedings

Conference

Conference33rd IEEE Conference on Signal Processing and Communications Applications, SIU 2025
Country/TerritoryTurkey
CityIstanbul
Period25/06/2528/06/25

Bibliographical note

Publisher Copyright:
© 2025 IEEE.

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