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GPS/Magnetometer Based Satellite Navigationand Attitude Determination

机译:基于GPS /磁力计的卫星导航 r n和姿态确定

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摘要

This work presents the development and testing of a unifiedrnnavigation algorithm that produces estimates of attitude,rnangular rate, position, and velocity for a low earth orbitrn(LEO) spacecraft. The system relies on GPS phase andrnrange data as well as magnetometer data. The algorithmrnused is an extended Kalman filter (EKF), blended with arnpseudo-linear Kalman filter algorithm. This combinedrnalgorithm that was developed to provide LEO attitude, orbit,rnand rate estimates using magnetometer and sun sensor datarnis modified to use GPS rather than sun sensor data.rnSimulations that were carried out prove that whenrnincorporating a two state receiver clock bias error and usingrnmeasurements from two GPS space vehicles (SVs), thernsystem is observable, and thus is estimable, and yields veryrngood results.
机译:这项工作介绍了统一导航算法的开发和测试,该算法可为低地球轨道(LEO)航天器产生姿态,角速度,位置和速度的估计值。该系统依赖于GPS相位和测距数据以及磁力计数据。该算法是扩展的卡尔曼滤波器(EKF),与arnpseudo-linear Kalman滤波算法混合在一起。这种组合算法是通过使用磁力计和太阳传感器数据提供LEO姿态,轨道,轨道和速率估计而开发的,经过修改后使用GPS而不是太阳传感器数据。进行的仿真证明,当合并两个状态接收器的时钟偏差误差并使用来自两个状态的测量值时GPS航天器(SV),该系统是可观测的,因此是可估计的,并且会产生非常好的结果。

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