首页> 外文会议>Proceedings of the Institute of Navigation 2009 international technical meeting (ITM 2009) >A Constrained GPS/INS Integration Based on Rotation Angle for Attitude Update and Dynamic Models for Position Update
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A Constrained GPS/INS Integration Based on Rotation Angle for Attitude Update and Dynamic Models for Position Update

机译:基于旋转角度的姿态更新和动态模型的受限GPS / INS集成

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摘要

In this paper, we present a constrained fusion scheme to integrate the GPS measurements of position and velocity with the inertial measurements of acceleration and angular velocity. The basis for this integration is the ground alignment method for attitude and heading determination. rnThe advantage of using this method is having a bounded error in the estimated roll and pitch angles without the need for extra measurement of them. The time update of the position, velocity and acceleration is performed using a proper dynamic or kinematic model while attitude update of the direction cosine matrix DCM is performed using angle rotation vector. The integration algorithm is implemented using an extended Kalman filter. Ground alignment relies on measuring the gravity vector in the body frame and on the knowledge of the gravity vector in the local navigation frame.
机译:在本文中,我们提出了一种约束融合方案,将位置和速度的GPS测量与加速度和角速度的惯性测量集成在一起。这种整合的基础是确定姿态和航向的地面对准方法。使用这种方法的优点是估计的侧倾角和俯仰角有一定的误差,而无需额外测量。使用适当的动态或运动学模型执行位置,速度和加速度的时间更新,同时使用角度旋转矢量执行方向余弦矩阵DCM的姿态更新。积分算法是使用扩展的卡尔曼滤波器实现的。地面对准依赖于测量车身框架中的重力向量以及本地导航框架中的重力向量的知识。

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