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

Farra Anindya Putri (Departement of Electronic Engineering, Bandung State Polytechnic)
Dayat Kurniawan (Research Center for Telecommunication, National Research and Innovation Agency)
Rahmawati Hasanah (Departement of Electronic Engineering, Bandung State Polytechnic)
Taufiqurrahman Taufiqurrahman (Faculty of Electrical Engineering, Universiti Teknologi Malaysia)
Eko Joni Pristianto (Research Center for Telecommunication, National Research and Innovation Agency)
Hana Arisesa (Faculty of Electrical Engineering, Universiti Teknologi Malaysia)
Yusuf Nur Wijayanto (Research Center for Electronic, National Research and Innovation Agency)
Deni Permana (Research Center for Telecommunication, National Research and Innovation Agency)
Winy Desvasari (Research Center for Telecommunication, National Research and Innovation Agency)
Ken Paramayudha (Research Center for Telecommunication, National Research and Innovation Agency)
Arief Budi Santiko (Research Center for Telecommunication, National Research and Innovation Agency)
Dadin Mahmudin (Faculty of Electrical Engineering, Universiti Teknologi Malaysia)
Pamungkas Daud (Research Center for Telecommunication, National Research and Innovation Agency)
Fajri Darwis (Research Center for Telecommunication, National Research and Innovation Agency)
Erry Dwi Kurniawan (Research Center for Telecommunication, National Research and Innovation Agency)
Arie Setiawan (Graduate School of Engineering, Mie University)
Tajul Miftahushudur (Department of Electrical and Electronic Engineering, The University of Manchester)
Prasetyo Putranto (School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology)
Syamsu Ismail

Jurnal Elektronika dan Telekomunikasi
Vol 22, No 1 (2022)

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.