Frequency Modulated Continuous Wave Radar-Based Through-Wall Human Detection for Emergency Response
IEEE Embedded Systems Letters, cilt.18, sa.3, ss.212-215, 2026 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 18 Sayı: 3
- Basım Tarihi: 2026
- Doi Numarası: 10.1109/les.2025.3619147
- Dergi Adı: IEEE Embedded Systems Letters
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, INSPEC
- Sayfa Sayıları: ss.212-215
- Anahtar Kelimeler: Frequency-modulated continuous wave (FMCW) radar, human detection, machine learning, through-wall sensing
- Yıldız Teknik Üniversitesi Adresli: Evet
Özet
Detecting individuals trapped after earthquakes is critical for guiding rescue operations, yet current search methods still face challenges, especially in large-scale emergencies. This work focuses on leveraging a low-cost, lightweight continuous wave radar (CWR) sensor for through-wall human detection, with the goal of enabling fast, scalable deployment in disaster zones. This solution facilitates deployment across different locations, supporting wide-area coverage, parallel search operations, and rapid rescue in time-critical situations. The proposed system uses machine learning models to accurately detect human presence and classify movement types behind walls, including static, low-energy, and high-energy movements. It achieves 97.1% accuracy in presence detection and 84.5% in static vs. movement classification, offering a practical and scalable solution for post-disaster search and rescue.