首页> 外文会议>Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis, 1996, 1996 >Improved heading using dual speed sensors for angular rate andodometry in land navigation
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Improved heading using dual speed sensors for angular rate andodometry in land navigation

机译:使用双速度传感器改善航向,以实现角速度和陆地导航中的里程表

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Two radar ground speed sensors are used in a land navigationsystem to provide improved heading by dampening erratic headings andremoving misalignments associated with magnetic compasses. Radar groundspeed sensors provide vehicle speed without contacting the groundsurface and are not subject to errors such as wheel slippage normallyassociated with wheel encoders or odometers. Differences between thespeed sensors provide a measure of angular rate which is input, alongwith magnetic compass heading, into a heading pre-filter. This providesan intermediate heading improvement by dampening the erratic magneticcompass heading outputs. The average of the speed sensors provide ameasure of distance traveled over a sample interval. Distance traveledand the heading pre-filter's output, are used to establish adead-reckoning navigation solution. This navigation solution is used asa reference state trajectory in a navigation Kalman filter algorithm,processing differential GPS positions as observations, to estimateposition, odometer scale factor, and heading misalignment errors. Theheading misalignment estimate is added to the heading pre-filter'sheading estimate to provide the final heading improvement for anoperator or vehicle guidance algorithm
机译:陆地导航中使用了两个雷达地面速度传感器 通过抑制不稳定的航向来提供改进的航向和 消除与磁罗盘相关的未对准问题。雷达地面 速度传感器可在不接触地面的情况下提供车辆速度 表面并且通常不会出现诸如轮滑的错误 与车轮编码器或里程表相关联。之间的差异 速度传感器可测量输入的角速度 带有磁罗盘航向,进入航向预过滤器。这提供了 通过抑制不稳定的磁场来改善航向 指南针航向输出。速度传感器的平均值提供了 在一个样本间隔内行进的距离的度量。行驶距离 和标题预过滤器的输出,用于建立 令人讨厌的导航解决方案。此导航解决方案用作 导航卡尔曼滤波算法中的参考状态轨迹, 处理差分GPS位置作为观测值,以进行估算 位置,里程表比例因子和航向未对准误差。这 航向未对准估计被添加到航向预过滤器的 航向估计为航向提供最终的航向改善 操作员或车辆导航算法

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