【作者】 陈文亮； 王俊； 袁常顺；

【Author】 Wenliang Chen;Jun Wang;Changshun Yuan;Hangzhou Innovation Institute,Beihang;School of Electronic Information Engineering,Beihang University;

【机构】 北京航空航天大学杭州创新研究院； 北京航空航天大学电子信息工程学院；

【摘要】 由于多径效应的影响,单个毫米波雷达的定位和跟踪往往会出现异常值和虚轨迹。多毫米波的协同作用可以有效地滤除孤立点和虚轨迹。然而,每个雷达都有自己的坐标系,多雷达协同工作的基础是坐标标定以统一这些雷达的坐标系。因此,本文提出了一种多毫米波雷达坐标标定算法,即获得坐标系的平移矩阵和旋转矩阵。最后,数值实验验证了在最佳平移和旋转角度后,真实目标生成的轨迹将重合在一起。相反,如果轨迹不是由真实目标生成的,它们就不能重合。该方法可以有效地滤除多径效应产生的轨迹。更多还原

【Abstract】 Localization and tracking of single millimeter wave radar usually make mistakes when outliers and virtual tracks are generated by multipath effect. Cooperation of multiple millimeter can effectively filter outliers and virtual tracks. However,each radar has its own coordinate system, they are different. The basis for cooperation of multiple radars is coordinate calibration. Thus, this paper proposed an algorithm to acquire the translation matrix and rotation angle which are used for coordinate calibration of multiple millimeter wave radars. Finally, numerical experiments validate that tracks generated by real target will coincide together after the optimal translation and rotation angle. On the contrary, if tracks are not generated by real target, they cannot coincide. This method can be used to filter tracks generated by multipath effect effectively.更多还原