自适应天文-卫星-惯性导航系统中的多传感器数据融合

L. A. Fokin
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引用次数: 3

摘要

提出了捷联惯导系统(SINS)、GPS接收机和天文导航系统(ANS)三种不同来源的导航信息融合算法,即存在非平稳高斯噪声的捷联惯导/卫星导航/GPS组合导航系统。采用基于自适应创新的(最大似然协方差)卡尔曼滤波对捷联惯导系统的位置、速度、姿态、加速度计、陀螺仪和重力加速度误差进行估计,得到改进的组合导航方案。采用一阶高斯-马尔可夫过程模拟SINS与GPS误差的时间相关性。利用拉格朗日多项式对不同输出速率的导航信息源进行插值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Multisensor Data Fusion in Adaptive Astro-Satellite-Inertial Navigation System
This paper presents the fusion algorithm for navigation information from three distinct sources: strapdown inertial navigation system (SINS), GPS receiver and astronavigation system (ANS) i.e. for SINS/ANS/GPS integrated navigation system in the presence of non- stationary Gaussian noise. Adaptive innovation-based (maximum-likelihood covariance) Kalman filter is used to estimate errors of SINS position, velocity, attitude, accelerometers, gyroscopes and gravitation acceleration to yield improved integrated navigation solution. First order Gauss-Markov processes are used to simulate time-correlation of SINS and GPS errors. Lagrange polynomials are used to interpolate data from each source of navigation information with different output rates.
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