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DIRECT COMPENSATION AND KALMAN FILTER COMPENSATION OF GRAVITY VERTICAL DEVIATION BASED ON GRID DATABASE

机译:基于网格数据库的直接补偿和卡尔曼滤波补偿重力垂直偏差

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The gravity model of WGS84 is commonly used in the calculation of gravitational acceleration known as normal gravity vector, but it cannot meet the requirements for high-precision inertial navigation systems because of the gravity anomaly. In this paper, the effects of gravity vertical deviation on navigation accuracy are analyzed and the principle of compensation is studied based on vertical deviation grid database. Then two practical compensation methods are presented. First, the direct compensation method converts the vertical deviation obtained from a look-up table into a gravity model component, which is compensated in the specific force equation. Second, the Kalman filter open-loop compensation method regards the vertical deviation as the accelerometer bias, getting the current attitude, velocity, position error based on state propagation, and uses open-loop correction. The two methods are implemented based on a 2.5 '× 2.5' vertical deviation database. The results show that the compensation effects are basically the same and can effectively compensate the vertical deviation of gravity, and improve the accuracy of inertial navigation system.
机译:WGS84的重力模型通常用于计算称为正常重力矢量的重力加速度,但由于重力异常,它不能满足高精度惯性导航系统的要求。本文分析了重力垂直偏差对导航精度的影响,并基于垂直偏差网格数据库研究了补偿原理。然后提出了两种实际补偿方法。首先,直接补偿方法将从查找表获得的垂直偏差转换为重力模型组件,其在特定力方程中得到补偿。二,卡尔曼滤波器开环补偿方法将垂直偏差视为加速度计偏置,获取当前姿态,速度,基于状态传播的位置误差,并使用开环校正。这两种方法是基于2.5'×2.5'垂直偏差数据库实现的。结果表明,补偿效果基本相同,可以有效地补偿重力的垂直偏差,提高惯性导航系统的准确性。

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