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

机译:基于多个激光跟踪仪的移动载具位置姿态估计方法

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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,目标跟踪等方面起着越来越重要的作用。获得载体的高精度位置和姿势至关重要。使用多个激光跟踪仪,可以获得高精度的载体位置和姿势,但是由于噪声和其他因素的影响,仍然存在一些误差。本文建立了当前的统计模型,设计了卡尔曼滤波自适应算法,对三个激光跟踪仪的采样数据进行滤波,消除了噪声和其他因素对激光跟踪系统的影响,获得了更为准确的采样坐标。此外,三样条插值方法可用于随时获取载体的位置坐标。最后,通过计算位置和姿势,可以随时获得载体的高精度位置和姿势。

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