首页 | 本学科首页   官方微博 | 高级检索  
     

基于恒虚警检测的汽车主动防撞毫米波雷达信号处理算法
引用本文:孙,元.基于恒虚警检测的汽车主动防撞毫米波雷达信号处理算法[J].兵工自动化,2017,36(9).
作者姓名:  
作者单位:西南科技大学国防科技学院,四川 绵阳,621010
基金项目:大学生创新创业训练计划,大学生创新创业训练计划,四川省科技创新苗子工程重点项目,绵阳市科技计划项目,四川省科技创新苗子工程培育项目,四川省教育厅重点项目
摘    要:为提高车辆的安全性能,提出一种基于时频分析和恒虚警检测(constant false alarm rate,CFAR)的汽车主动防撞毫米波雷达信号处理算法.使用时频分析方法建立连续可调频(frequency modulated carrier wave,FMCW)毫米波雷达探测目标的理论模型,介绍信号处理的算法流程,详细阐述CA-CFAR算法及改进算法(GO-CFAR),并通过仿真实验和外场实验进行分析验证.结果表明,该算法在高速公路环境下探测目标和计算目标的速度与距离参数方面有很高的精度.

关 键 词:FMCW雷达  自动防撞系统  信号处理  GO-CFAR
收稿时间:2017/5/5 0:00:00
修稿时间:2017/7/8 0:00:00

CFAR Based Signals Processing of Millimeter-wave Radar for Automotive Anti-collision
Sun Yuan,Sun Wuyu,Wei Jiajun,Liao Peng.CFAR Based Signals Processing of Millimeter-wave Radar for Automotive Anti-collision[J].Ordnance Industry Automation,2017,36(9).
Authors:Sun Yuan  Sun Wuyu  Wei Jiajun  Liao Peng
Abstract:In order to improve the vehicle safety performance, a signal processing algorithm for active anti-collision millimeter wave radar based on time frequency analysis and constant false-alarm rate (CFAR) is proposed. Time-frequency analysis method is firstly used to model the mechanism of frequency modulated carrier wave (FMCW) radars in detecting targets. Then, the design of the signals processing flow is detailed. The CA-CFAR algorithm and the improved algorithm (GO-CFAR) are discussed in detail and verified by simulation experiments and field experiments. The results show that the algorithm has high precision in detecting the speed and distance parameters of the target and computing target in the expressway environment.
Keywords:FMCW radar  automotive anti-collision  signals processing  GO-CFAR
本文献已被 万方数据 等数据库收录!
点击此处可从《兵工自动化》浏览原始摘要信息
点击此处可从《兵工自动化》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号