用于陆地车辆的集成简化惯性传感器系统- RISS / GPS

U. Iqbal, A. F. Okou, A. Noureldin
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引用次数: 85

摘要

本文提出了一种低成本的导航方案,能够在无GPS环境下高效实时地工作。它探索了一种简化的惯性传感器系统(RISS),包括单轴陀螺仪和双轴加速度计以及速度传感器,以在拒绝GPS环境中提供完整的导航解决方案。在假定车辆基本停留在水平面上的前提下,利用速度传感器获取的车速信息,结合陀螺仪获取的航向信息,确定了车辆沿东、北方向的速度。因此,确定了车辆的经纬度。基于RISS动态误差模型和GPS位置和速度更新,利用卡尔曼滤波(KF)估计位置和速度误差。两个指向前方和横向方向的加速度计与可靠的重力模型一起用于确定俯仰角和滚转角。本文分析和讨论了所提出的RISS系统及其与GPS集成的优点和局限性。通过一辆陆地车辆的道路试验,验证了该方法的性能。
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An integrated reduced inertial sensor system — RISS / GPS for land vehicle
This paper demonstrates a low cost navigation solution that can efficiently work, in real-time, in denied GPS environment. It explores a reduced inertial sensor system (RISS) involving single-axis gyroscope and two-axis accelerometers together with a speed sensor to provide full navigation solution in denied GPS environments. With the assumption that the vehicle mostly stay in the horizontal plane, the vehicle speed obtained from the speed sensor are used together with the heading information obtained from the gyroscope to determine the velocities along the East and North directions. Consequently, the vehiclespsila longitude and latitude are determined. The position and velocity errors are estimated by Kalman filter (KF) relying on RISS dynamic error model and GPS position and velocity updates. The two accelerometers pointing towards the forward and transverse directions are used together with a reliable gravity model to determine the pitch and roll angles. This paper analyzes and discusses the merits and limitations of the proposed RISS system and its integration with GPS. The performance of the proposed method is examined by conducting road test experiment in a land vehicle.
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