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http://dx.doi.org/10.12815/kits.2013.12.1.028

UWB RADAR based Modified Adaptive CFAR Algorithm for improved safety of Personal Rapid Transit  

Hong, Seok-Gon (인하대학교 정보통신공학과)
Kim, Baek-Hyun (한국철도기술연구원 열차제어통신연구실)
Jeong, Rag-Gyo (한국철도기술연구원 열차제어통신연구실)
Kwak, Kyung-Sup (인하대학교 정보통신공학과)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.12, no.1, 2013 , pp. 28-42 More about this Journal
Abstract
Personal Rapid Transit(PRT) is a new unmanned transportation system using electricity. The purpose of the PRT is relieving the congestion of city traffic and connecting between inner city and airport, high-speed railroad. PRT requires to develop devices for the guarantee of safety and reliability. PRT as the mean of rail transportation must be equipped with control system for front rail sensing. Ultra Wide Band(UWB) radar system is suitable for PRT's detection because it has the advantage of low power consumption, low interference and high resolution. In this paper, an improved adaptive Constant False Alarm Rate(CFAR) algorithm is proposed and studied in various noise environments. The proposed algorithm improves performance in various noise environments compared to the Mean Level CFAR algorithms and other adaptive CFAR algorithms.
Keywords
PRT; UWB; Vehicular RADAR; CFAR; Variability Index CFAR;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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