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Development of FMCW Radar Signal Processing for High-Speed Railway Collision Avoidance

  Farra Anindya Putri (1), Dayat Kurniawan (2*), Rahmawati Hasanah (3), Taufiqurrahman Taufiqurrahman (4), Eko Joni Pristianto (5), Hana Arisesa (6), Yusuf Nur Wijayanto (7), Deni Permana (8), Winy Desvasari (9), Ken Paramayudha (10), Arief Budi Santiko (11), Dadin Mahmudin (12), Pamungkas Daud (13), Fajri Darwis (14), Erry Dwi Kurniawan (15), Arie Setiawan (16), Tajul Miftahushudur (17), Prasetyo Putranto (18), Syamsu Ismail (19)

(1) Departement of Electronic Engineering, Bandung State Polytechnic - Indonesia
(2) Research Center for Telecommunication, National Research and Innovation Agency - Indonesia orcid
(3) Departement of Electronic Engineering, Bandung State Polytechnic - Indonesia
(4) Faculty of Electrical Engineering, Universiti Teknologi Malaysia - Malaysia
(5) Research Center for Telecommunication, National Research and Innovation Agency - Indonesia
(6) Faculty of Electrical Engineering, Universiti Teknologi Malaysia - Malaysia
(7) Research Center for Electronic, National Research and Innovation Agency - Indonesia
(8) Research Center for Telecommunication, National Research and Innovation Agency - Indonesia
(9) Research Center for Telecommunication, National Research and Innovation Agency - Indonesia
(10) Research Center for Telecommunication, National Research and Innovation Agency - Indonesia
(11) Research Center for Telecommunication, National Research and Innovation Agency - Indonesia
(12) Faculty of Electrical Engineering, Universiti Teknologi Malaysia - Malaysia
(13) Research Center for Telecommunication, National Research and Innovation Agency - Indonesia
(14) Research Center for Telecommunication, National Research and Innovation Agency - Indonesia
(15) Research Center for Telecommunication, National Research and Innovation Agency - Indonesia
(16) Graduate School of Engineering, Mie University - Japan
(17) Department of Electrical and Electronic Engineering, The University of Manchester - United Kingdom
(18) School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology - Sweden
(19)  - Indonesia
(*) Corresponding Author

Received: June 27, 2022; Revised: August 11, 2022
Accepted: August 12, 2022; Published: August 31, 2022


How to cite (IEEE): F. A. Putri, D. Kurniawan, R. Hasanah, T. Taufiqurrahman, E. J. Pristianto, H. Arisesa, Y. N. Wijayanto, D. Permana, W. Desvasari, K. Paramayudha, A. B. Santiko, D. Mahmudin, P. Daud, F. Darwis, E. D. Kurniawan, A. Setiawan, T. Miftahushudur, P. Putranto,  and S. Ismail, "Development of FMCW Radar Signal Processing for High-Speed Railway Collision Avoidance," Jurnal Elektronika dan Telekomunikasi, vol. 22, no. 1, pp. 40-47, Aug. 2022. doi: 10.55981/jet.482

Abstract

Collision is the main issue in safe transportation, including in the railway system. Sensor systems have been developed to detect obstacles to prevent a collision, such as using cameras. One disadvantage of the camera systems is that performance detection decreases in a not clean environment, like the target position behind the fogs. This paper discusses the development of frequency modulated continuous wave (FMCW) radar signal processing for high-speed railway collision avoidance. The development of radar signal processing combines a two-dimensional constant false alarm rate (2D-CFAR) and robust principal component analysis (RPCA) to detect moving targets under clutter. Cell average (CA) and Greatest of CA (GOCA) CFAR are evaluated under a cluttered wall environment along the railway track. From the experiment, the development of FMCW radar can detect stationary or moving obstacles around 675 meters in front of the locomotive. Combining 2D-CFAR and RPCA algorithm outperforms average background subtraction in extracting moving targets from strong clutter signals along the railway track.


  http://dx.doi.org/10.55981/jet.482

Keywords


railway system; FMCW radar; collision avoidance; clutter removal; 2D-CFAR; RPCA

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