首页> 外国专利> methods for reducing atmospheric errors in carrier phase and code measurements based on signals received from a plurality of satellites in a global navigation satellite system and for processing carrier code and phase measurements based on signals received from a plurality of satellites. satellites in a global navigation satellite system, and positioning or navigation system and device

methods for reducing atmospheric errors in carrier phase and code measurements based on signals received from a plurality of satellites in a global navigation satellite system and for processing carrier code and phase measurements based on signals received from a plurality of satellites. satellites in a global navigation satellite system, and positioning or navigation system and device

机译:用于基于全球导航卫星系统中从多个卫星接收的信号减少载波相位和码测量中的大气误差的方法,以及用于基于从多个卫星接收的信号来处理载波码和相位测量的方法。全球导航卫星系统中的卫星,以及定位或导航系统和设备

摘要

GLOBAL, E, SYSTEM AND POSITIONING OR NAVIGATION DEVICE. A method for decreasing atmospheric errors in code and carrier phase measurements based on signals received from a plurality of satellites in a global navigation satellite system is exposed. A residual tropospheric delay and a plurality of residual ionospheric delays are modeled as states in a Kalman filter (block 340). The Kalman filter status update functions include at least one factor depending on the baseline distance, where the baseline distance is the distance between a reference receiver and a mobile receiver (block 340). A plurality of ambiguity values are modeled as states in the Kalman filter. The Kalman filter status update function for ambiguity states includes a dynamic noise factor (block 360 in Figure 3B). An estimated mobile receiver position is updated (block 370) according to the residual tropospheric delay (block 372), the plurality of residual ionospheric delays (block 374) and / or the plurality of ambiguity values (block 376).
机译:全局,E,系统和定位或导航设备。公开了一种基于从全球导航卫星系统中的多个卫星接收的信号来减少代码和载波相位测量中的大气误差的方法。在卡尔曼滤波器中将残留的对流层延迟和多个残留的电离层延迟建模为状态(框340)。卡尔曼滤波器状态更新功能包括至少一个取决于基线距离的因素,其中基线距离是参考接收机与移动接收机之间的距离(框340)。在卡尔曼滤波器中将多个模糊度值建模为状态。用于歧义状态的卡尔曼滤波器状态更新功能包括动态噪声因子(图3B中的框360)。根据剩余对流层延迟(块372),多个剩余电离层延迟(块374)和/或多个歧义值(块376)​​,更新估计的移动接收机位置(块370)。

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