兵工自动化2017，Vol.36Issue(9)：45-49,5.DOI:10.7690/bgzdh.2017.09.011
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
CFAR Based Signals Processing of Millimeter-wave Radar for Automotive Anti-collision
摘要
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.关键词
FMCW雷达/自动防撞系统/信号处理/GO-CFARKey words
FMCW radar/automotive anti-collision/signals processing/GO-CFAR分类
信息技术与安全科学引用本文复制引用
孙元,孙梧雨,韦家军,廖鹏..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):45-49,5.基金项目
大学生创新创业训练计划(10619048) （10619048）
大学生创新创业训练计划(201610619047) （201610619047）
四川省科技创新苗子工程重点项目(2017RZ0058) （2017RZ0058）
绵阳市科技计划项目(16G-01-13) （16G-01-13）
四川省科技创新苗子工程培育项目(2016012) （2016012）
四川省教育厅重点项目(16zd1121) （16zd1121）
