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Research on gravity vertical deflection on attitude of position and orientation system and compensation method

机译:重力垂直偏转对位置定向系统姿态及补偿方法的研究

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摘要

Position and Orientation System (POS) is the key sensor of remote-sensing system. It is a typically Strapdown Inertial Navigation System (SINS) and Global Navigation Satellite System (GNSS) integrated measurement system, which provides high-precision position and attitude parameters. The gravity disturbance vector is one of the main error sources of high-precision SINS. The error propagation of POS is analyzed. It shows that the vertical component of the gravity disturbance vector is introduced into the POS horizontal channel through the vertical deflections, which leads to the error of the attitude measurement of the POS. In this article, a new real-time gravity compensation method is proposed, which includes the gravity disturbance as the error states of POS Kalman filter, and the accurate gravity disturbance model is constructed by a "Block-Time Variation" Markov Model (B-TV-MM) based on high-precision gravity map, whose resolution is enhanced by a new interpolation method based on Gaussian Process Regression (GPR). A flight experiment was conducted to evaluate the efficiency of the proposed method and the results showed that the proposed method performs better compared with other real-time gravity compensation methods. (C) 2019 Elsevier Masson SAS. All rights reserved.
机译:定位系统(POS)是遥感系统的关键传感器。它是典型的捷联惯性导航系统(SINS)和全球导航卫星系统(GNSS)集成的测量系统,可提供高精度的位置和姿态参数。重力扰动矢量是高精度SINS的主要误差来源之一。分析了POS的错误传播。结果表明,重力扰动矢量的垂直分量通过垂直偏转被引入到POS水平通道中,从而导致POS姿态测量的误差。本文提出了一种新的实时重力补偿方法,该方法将重力扰动作为POS卡尔曼滤波器的误差状态,并通过“时变”马尔可夫模型( B-TV-MM),它是基于高精度重力图的,它的分辨率通过基于高斯过程回归(GPR)的新插值方法得到了增强。进行了一次飞行实验,评估了该方法的有效性,结果表明,与其他实时重力补偿方法相比,该方法具有更好的效果。 (C)2019 Elsevier Masson SAS。版权所有。

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