摘要
卫星导航是当前通信领域的研究热点,面向非线性环境,及时的定位与全面的目标提取是实现卫星导航的重要依据。研究基于激光点云数据的卫星导航定位方法,采用标识点过程方法建立目标地面投影几何形状,通过几何重心获取平面域节点集合、随机变量、目标投影点髙程以及地面投影点高程的概率密度函数,基于以上概率密度函数通过贝叶斯定理获取激光点云数据的目标提取模型,利用单差分以及双差分处理算法整理通过目标提取模型获取的激光点云数据,并对已处理的激光点云数据实施相对定位以及相对速度解算,实现目标精准导航定位。实验结果表明,通过该方法进行不同距离卫星导航定位,可将导航定位误差控制在0.2%以内。
Satellite navigation is a research hot point in the field of communication at present.Facing the non-linear environment,timely positioning and comprehensive target extraction are the important basis for realizing satellite navigation.The satellite navigation and positioning method based on laser point cloud data is studied.The geometric shape of the target's ground projection is established by marking point process method.The probability density functions of the node set,random variables,the elevation of the target projection point and the elevation of the ground projection point are obtained by the geometric center of gravity.Based on the above probability density functions,the target extraction of the laser point cloud data is obtained by Bayesian theorem.The laser point cloud data acquired by target extraction model are sorted out by single difference and double difference processing algorithms,and the processed laser point cloud data are positioned relative to each other and calculated relative velocity to achieve precise target navigation and positioning.The experimental results show that the error of navigation and positioning can be controlled within 0.2%through this method for satellite navigation and positioning at different distances.
作者
段恒利
DUAN Hengli(Sichuan Business College,Chengdu 611745,China)
出处
《激光杂志》
北大核心
2020年第2期78-82,共5页
Laser Journal
基金
四川省教育厅(No.川教函[2017]33号)
关键词
激光点云数据
卫星导航淀位
目标提取
概率密度
相对速度
laser point cloud data
satellite navigation
positioning
target extraction
probability density
relative speed
