Metode Reduksi Clutter Dinamis pada Sistem Radar-Drone untuk Deteksi Tanda Vital Pernafasan

ALOYSIUS ADYA PRAMUDITA, ALDI RIFALDI DWINANDA, BAMBANG SETIA NUGRAHA, HARFAN HIAN RYANU

Sari


ABSTRAK

Pengembangan radar pendeteksi tanda vital yang dikombinasikan dengan kemampuan deteksi di balik penghalang diarahkan untuk menghasilkan teknologi pencarian korban selamat di bawah reruntuhan. Elaborasi teknologi drone untuk membawa radar dalam menjangkau area yang sulit akan mendukung efektifitas penggunaan teknologi tersebut. Namun fluktuasi ketinggian terbang memungkinkan munculnya clutter dinamis. Clutter dinamis berpengaruh signifikan pada hasil deteksi. Metode untuk mengurangi clutter dinamis diperlukan dan pada paper ini diusulkan metode reduksi clutter dengan penggunaan data fluktuasi ketinggian untuk mengidentifikasi respons doppler tambahan akibat clutter dinamis. Hasil digunakan untuk mengendalikan pemfilteran akhir dari hasil deteksi fasa sinyal radar. Simulasi dan eksperimen laboratoriun dengan radar Frequency Modulated Continuous Wave (FMCW) telah dilakukan dan hasil menunjukkan bahwa metode usulan secara signifikan dapat memperbaiki hasil deteksi.

Kata kunci: Radar, Drone, Reruntuhan, Tanda Vital, FMCW.

 

ABSTRACT

The development of a radar for detecting vital signs combined with the ability to detect an object behind obstacles is aimed at producing technology to search for survivors buried under the rubble. Elaboration of drones for conveying a radar to reach difficult areas will support the effective use of this technology. However, fluctuations in flight altitude allow dynamic clutter to emerge. The existence of dynamic clutter has a significant influence on the detection results. A method to reduce dynamic clutter in radar altitude is needed, and this paper proposes a dynamic clutter reduction method that consists of utilizing the altitude fluctuation data itself to identify additional Doppler responses due to dynamic clutter and then used to control the post-filtering of the phase detection results. Laboratory simulations and experiments with FMCW radar have been carried out, showing that the proposed method can significantly improve the detection results.

Keywords: Radar, Drone, Rubble, Vital Sign, FMCW.


Kata Kunci


Radar; Drone; Reruntuhan; Tanda Vital; FMCW

Teks Lengkap:

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Referensi


Almeida, D.R.A dkk. (2019). Monitoring the Structure of Forest Restoration Plantations with a Drone-Lidar System. International Journal of Applied Earth Observation and Geoinformation, 79, 192–198, DOI: 10.1016/j.jag.2019.03.014.

Ambarini, R, A. A. Pramudita, & E. Ali. (2018). Single-Tone Doppler Radar System for Human Respiratory Monitoring. Proceeding of EECSI.

Gennarelli, G, G. Ludeno, F. Soldovieri. (2016). Real-Time Through-Wall Situation Awareness Using a Microwave Doppler Radar Sensor, Remote Sensors, 8(8), 621.

Goian, A, R. Ashour, U. Ahmad, T. Taha, N. Almoosa, L. Seneviratne. (2019). Victim Localization in USAR Scenario Exploiting Multi-Layer Mapping Structure. Remote Sensing, 11(22), 2704.

Ivanovs, A, A. Nikitenko, M. Di Castro, T. Torims, A. Masi & M.Ferre. (2019). Multisensor Low-Cost System for Real Time Human Detection and Remote Respiration Monitoring. IEEE International Conference on Robotic Computing (IRC), (pp. 254-257), DOI: 10.1109/IRC.2019.00047.

Jannah, S, A. A. Pramudita, & F. Y. Suratman. (2021). Experiment of FMCW Radar for Small Displacement Detection using VNA. International Conference on Radar, Antenna, Microwave, Electronics, and Telecommunications (ICRAMET) , (pp. 1–6).

Liang, B, Y. Jin, D. Yang , D. Zhao & Y. Zhang. (2018). An Accelerated Algorithm for Detecting Micro-Moving Objects of Radar Life Detector of Smart Campus Based on Block Data Analysis. IEEE Access, 6, 57994 – 58003, DOI: 10.1109/ACCESS.2018.2872967.

Li, Z, dkk. (2018). Detection of People Trapped under the Ruins Using Dual-frequency IR-UWB Radar. 15th European Radar Conference (EuRAD), (pp. 83-86), DOI:10.23919/EuRAD.2018.8546530.

Pramudita, dkk. (2022). Radar System for Detecting Respiration Vital Sign of Live Victim Behind the Wall. IEEE Sensors Journal, 22(15), DOI: 10.1109/JSEN.2022.3188165.

Pramudita, & F. Y. Suratman. (2021). Low-Power Radar System for Noncontact Human Respiration Sensor. IEEE Transactions on Instrumentation and Measurement, 70, 1-15, DOI: 10.1109/TIM.2021.3087839.

Pramudita, F. Suratman, D. Arseno. (2020). Modified FMCW system for non-contact sensing of human respiration. Journal of Medical Engineering and Technology, 44, 1-11, DOI:10.1080/03091902.2020.1753835.

Ridhia, F., A. A. Pramudita, & Y. Wahyu. (2022). Pengaruh Dinding Penghalang pada Deteksi Tanda Vital Pernapasan dengan Through Wall Radar. Jurnal Nasional Teknik Elektro dan Teknologi Informasi, DOI: 10.22146/jnteti.v11i4.4349.

Wakabayashi, M, H. G. Okuno, & M. Kumon. (2020). Multiple Sound Source Position Estimation by Drone Audition Based on Data Association Between Sound Source Localization and Identification. IEEE Robot Autom Lett, 5(2), 782–789. DOI: 10.1109/LRA.2020.2965417.

Wang, S dkk. (2015). A Novel Ultra-Wideband 80 GHz FMCW Radar System for Contactless Monitoring of Vital Signs. IEEE Engineering in Medicine and Biology Society, 4978–4981. DOI: 10.1109/EMBC.2015.7319509.

Yan, J dkk. (2018). Vital-SAR-Imaging With a Drone-Based Hybrid Radar System. IEEE Trans Microw Theory Tech, 66(12), 5852–5862, DOI: 10.1109/TMTT.2018.2874268.

Yang, D, dkk. (2021). The Overview of Human Localization and Vital Sign Signal Measurement Using Handheld IRUWB Through-Wall Radar. Sensors, 21(2), 402, DOI:10.3390/s21020402.

Yamazaki, Y, M. Tamaki, C. Premachandra, C. J. Perera, S. Sumathipala & B. H. Sudantha. (2019). Victim Detection Using UAV with On-board Voice Recognition System. IEEE International Conference on Robotic Computing (IRC), (pp. 555-559), DOI: 10.1109/IRC.2019.00114.

Zhang, D, S. Sessa, R. Kasai, S. Cosentino, C. Giacomo, Y. Mochida, H. Yamada, M. Guarnieri, A. Takanishi. (2018). Evaluation of a Sensor System for Detecting Humans Trapped under Rubble: A Pilot Study. Sensors, 18(3), 852.




DOI: https://doi.org/10.26760/elkomika.v12i1.148

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