首页> 外国专利> In-vehicle radar characterization method, probability model creation method and probability model used for this

In-vehicle radar characterization method, probability model creation method and probability model used for this

机译:车内雷达表征方法、概率模型创建方法和用于此的概率模型

摘要

PROBLEM TO BE SOLVED: To provide a highly versatile one which enables easy and quick characteristic evaluation of an in-vehicle radar and regardless of a difference in radar method. SOLUTION: A large number of detected raw waves β1 are generated between a virtual vehicle VB and a virtual antenna FA whose position is changed over a large number of places in a predetermined range P in consideration of multipath by the simulation shown in FIG. 2 in advance. , Β2, etc., and a large number of delay times, which are round-trip times, are acquired. A probability model (FIG. 4) showing the probability density is created for each of a large number of delay times. The delay time selected in the distribution range of the probability density in the probability model (for example, the lower limit value indicating the minimum delay time and the upper limit value indicating the maximum delay time) is selected. Substituting the selected delay time (for example, the above lower limit value and upper limit value) into the calculation formula for calculating the distance according to the delay time of the in-vehicle radar to be verified, the detection distance in the in-vehicle radar to be verified Is obtained. [Selection diagram] Fig. 4
机译:需要解决的问题:提供一种高度通用的车载雷达,使车载雷达的特性评估变得简单、快速,而不考虑雷达方法的差异。解决方案:在虚拟车辆VB和虚拟天线FA之间生成大量检测到的原始波β1,虚拟天线FA的位置在预定范围P内的大量位置发生变化,考虑到多径效应,如图2所示,Β2等,并获取大量的延迟时间,即往返时间。为大量延迟时间中的每一个创建了显示概率密度的概率模型(图4)。选择在概率模型中的概率密度分布范围内选择的延迟时间(例如,指示最小延迟时间的下限值和指示最大延迟时间的上限值)。将选定的延迟时间(如上述下限值和上限值)代入根据待验证车载雷达的延迟时间计算距离的计算公式,得到待验证车载雷达的探测距离。[选择图]图4

著录项

  • 公开/公告号JP2022050904A

    专利类型

  • 公开/公告日2022-03-31

    原文格式PDF

  • 申请/专利权人 マツダ株式会社;

    申请/专利号JP20200157092

  • 发明设计人 寺島 将太;奥木 友和;山田 秀行;

    申请日2020-09-18

  • 分类号G01S7/295;G01S13/931;G01S7/40;

  • 国家 JP

  • 入库时间 2022-08-25 00:18:14

相似文献

  • 专利
  • 外文文献
  • 中文文献
获取专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号