高速公路场景中汽车自动化驾驶的雷达信号处理

Radar Signal Processing for Automated Vehicle Driving in Highway Scenarios

交通道路环境下工作的雷达间产生的多径干扰会导致雷达出现虚假目标。为此对解决雷达信号的多径干扰问题开展以下研究。首先探讨了邻近汽车雷达系统产生的多径干扰,将其定性为一种动态随机过程。为了验证整个处理流程,利用MATLAB软件进行了仿真实验,重点模拟了测距、测速和测角算法。通过对数据进行对比分析,对雷达的性能指标进行了评估。随后,建立了高速公路模型,并构建了雷达模型,同时设定了相应的参数。利用信号处理函数,成功获取了目标车辆的速度、距离和方位信息。最终,通过绘制雷达车辆的鸟瞰图,直观展示了研究成果。

Multipath interference generated between radars operating in a traffic road environment can lead to false targets on radars.To this end,the following research is carried out to solve the problem of multipath interference of radar signals.Firstly,the multipath interference generated by the adjacent vehicle radar system is discussed,and it is characterized as a dynamic stochastic process.To validate the entire processing pipeline,simulation experiments are conducted utilizing MATLAB software,with particular emphasis on the simulation of the ranging,velocity and angle measurement algorithms.Through the comparative analysis of data,this paper estimates the performance metrics of radar.Subsequently,it establishes a highway model,constructs a radar model,and defines specific parameters at the same time.By utilizing signal processing functions,the velocity,distance,and azimuth information of the target vehicles are derived.Finally,the research results are visually displayed through drawing an aerial view of the radar vehicle.