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Estimation Method for Position and Posture of Mobile Carrier Based on Multiple Laser Trackers

机译:基于多激光跟踪器的移动载波位置和姿势的估计方法

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摘要

Nowadays, the position and posture of moving objects are playing more and more important roles in space flight, navigation, target tracking and so on. It is crucial to obtain high-precision position and posture of the carriers. Using multiple laser trackers, high-precision position and posture of the carriers can be obtained, but there are still some errors due to the influence of noise and other factors. In this paper, a current statistical model is built, the Kalman filter adaptive algorithm is designed to filter the sampling data of the three laser trackers, removing the influence of noise and other factors on the laser tracking system and obtaining more accurate sampling coordinates. Besides, the three-spline interpolation method is used to obtain the position coordinates of the carrier at any time. Finally, the high-precision position and posture of the carrier at any time are obtained through the calculation of position and posture.
机译:如今,移动物体的位置和姿势在太空飞行,导航,目标跟踪等中播放了越来越重要的角色。在获得载体的高精度位置和姿势是至关重要的。使用多种激光跟踪器,可以获得高精度位置和凸起的姿势,但由于噪声和其他因素的影响,仍有一些误差。本文建立了电流统计模型,Kalman滤波器自适应算法旨在过滤三个激光跟踪器的采样数据,从而消除激光跟踪系统上的噪声和其他因素的影响,并获得更准确的采样坐标。此外,三个花键内插方法用于随时获得载体的位置坐标。最后,通过计算位置和姿势来获得任何时间的高精度位置和姿势。

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