Doppler Shift and Height Detection of Obstacle Based on FMCW Radar Sensor

被引:1
作者
Zhou Hongping [1 ]
Liu Quanbo [1 ]
Chen Wenliang [1 ]
Shen Fei [1 ]
Chen Dapeng [2 ]
机构
[1] HeFei Univ Technol, Dept Commun Engn, Hefei, Peoples R China
[2] Univ Sci & Technol China, Sch Management, Hefei, Peoples R China
来源
2015 INTERNATIONAL CONFERENCE ON CYBER-ENABLED DISTRIBUTED COMPUTING AND KNOWLEDGE DISCOVERY | 2015年
关键词
intelligent transportation; autonomous driving; FMCW radar sensor; Doppler shift; height detection;
D O I
10.1109/CyberC.2015.64
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
With the rapid development of science and technology of intelligent transportation, Frequency Modulated Continuous Wave (FMCW) radar sensor has been widely used in automotive auxiliary driving. This paper presents a method to obtain parameters of obstacles ahead a vehicle. Firstly, the signal processing is applied to detect and analyze the moving obstacle to get its range, speed and Doppler shift. Then, a spatial model is set up for the height detection of the obstacle. Finally the feasibility of the introduced method is demonstrated through simulation by using FMCW radar sensors which are mounted on a vehicle. This method of obstacle detection may be applied on safety driving assistant.
引用
收藏
页码:399 / 402
页数:4
相关论文
共 8 条
  • [1] Dudek M., 2010, MICR C P APMC 2010 A, P1665
  • [2] Gao X., 2013, KEY TECHNOLOGY SOFTW
  • [3] Jing Xiong, 2013, Electronic Science and Technology, V26, P57
  • [4] Song Xingxiu, 2014, Electronic Science and Technology, V27, P5
  • [5] Wahl R, 2006, IEEE VTS VEH TECHNOL, P2883
  • [6] Wu T., 2014, MODERN ELECT TECHNOL, V37
  • [7] Xu J., 2009, RES SIGNAL PROCESSIN
  • [8] Yue Wenbao, 2012, APPL ELECT TECHNIQUE, V38, P73