期刊文献+

基于毫米波雷达的汽车近程防撞系统设计

Design for automotive short-rangecollision avoidance system based on millimeter wave radar
下载PDF
导出
摘要 采用24GHzmm波雷达传感器,设计了一种汽车近程测距与防撞系统。系统通过对运动物体上载有的雷达射频前端输出信号的处理,可以得到该传感器与目标物体的距离和速度信息,根据此信息来判断载有该传感器的物体与目标物体是否有碰撞危险。若有危险,则通过声音报警提醒运动物体如汽车驾驶者,以减小事故发生的概率。该设计首先对雷达射频前端输出的差频信号进行滤波和输入匹配,然后用STM32F407处理器来完成实时测距和测速算法。经实验验证,该系统工作稳定,测量距离可达20m,可将其应用到倒车雷达和盲点检测中,弥补了当前防撞雷达探测距离短的缺点。 In this paper, a 24 GHz millimeter wave radar sensor is used to design a short range distance measurement and collision avoidance system. The system can get the distance and velocity information of the sensormounted on the moving object and the target object by processing the output signal of the radar. Then judge whether there is a collision risk between the object and the target object based on this information. If there is a danger, anaudio alarm is used to remind a moving object, such as a motorist,to reduce the probability of an accident. In this design, we first filter and match the difference frequency signal output from the radar, then use the STM32 F407 processor to complete the real-time ranging and velocity measurement algorithm. Experimental results show that the system works stably, and the measurement distance can reach 20 meters. It can be applied to reversing radar and blind spot detection, making up for the shortcoming of the current anti-collision radar’s short detection distance.
作者 袁欣 徐杜 Yuan xin;Xu du(School of Information Engineering,Guangdong University of Technology,Guangzhou,China,510006)
出处 《信息通信》 2018年第3期93-96,共4页 Information & Communications
关键词 毫米波雷达 调频连续波 信号处理 测距 测速 汽车防撞 Millimeter-wave radar FMCW Signal processing Distance measurement Velocity measurement Automobile collisionavoidance
  • 相关文献

参考文献1

二级参考文献12

  • 1李以农,郑玲,谯艳娟.汽车纵向动力学系统的模糊—PID控制[J].中国机械工程,2006,17(1):99-103. 被引量:17
  • 2李贻斌,阮久宏,李彩虹,付梦印.智能车辆的纵向运动控制[J].机械工程学报,2006,42(11):94-102. 被引量:11
  • 3Vahidi A,Eskandarian A. Research Advances in Intelligent Collision Avoidance and Adaptive Cruise Control [J]. IEEE Transactions on Intelligent Transportation Systems, 2003,4 (3) : 143-153.
  • 4Li Li, Wang Feiyue. Advanced Motion Control and Sensing for Intelligent Vehicles [M]. New York: Springer, 2007.
  • 5Marsden G, McDonald M, Brackstone M. Towards an Understanding of Adaptive Cruise Control[J]. Transportation Research Part C:Emerging Technologies, 2001, 9 (1):33-51.
  • 6Guanguli A,Rajamali R. Tractable Model Development and System Identification for Longitudinal Vehicle Dynamics[J]. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 2004,218 (10) : 1077-1084.
  • 7Jarrah M A,Shaout A. Fuzzy Modular Autonomous Intelligent Cruise Control(AICC) System[J]. Journal of Intelligent and Fuzzy Systems, 2001, 11 (3/ 4) :121-134.
  • 8Lee G D,Kim S W. A Longitudinal Control System for a Platoon of Vehicles Using a Fuzzy-sliding Mode Algorithm[J]. Mechatronics, 2002,12 ( 1 ) : 97 -118.
  • 9Bin Yang, Li Keqiang, Ukawa H, et al. Nonlinear Disturbance Decoupling Control of Heavy- duty Truck Stop and Go Cruise System[J]. Vehicle System Dynamics,2009,47(1) :29-55.
  • 10Nouveliere L, Mammar S. Experimental Vehicle Longitudinal Control Using a Second Order Sliding Mode Technique[J]. Control Engineering Practice, 2007,15(8) :943-954.

共引文献24

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部