伪距和多普勒观测条件下LEO卫星跟踪的星历误差建模

Samer Hayek, Joe Saroufim, Zaher M. Kassas
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引用次数: 0

摘要

提出了一种低地球轨道卫星星历表跟踪框架。该框架考虑了一个已知的接收器,该接收器使用从卫星信号中随机提取的伪距和多普勒测量值来跟踪LEO卫星的位置和速度状态。提出了一种估算历元时间平差的解析方法,以减小简化一般摄动(SGP4)传播的星历表误差。提出了一种扩展卡尔曼滤波器(EKF),利用伪距或多普勒观测值以闭环方式估计卫星的纬度参数,然后近似历元时调整以减小卫星状态初始化误差。通过星链卫星的仿真研究,将初始化误差从使用SGP4星历表时的1880 m减小到使用伪距和多普勒测量时的356 m和367 m。实验结果表明:采用SGP4开环传播后,卫星的位置均方根误差(RMSE)从7.1 km以上降低到242 m。跟踪到的星历表被用来定位地面接收器,将初始误差从2.67公里减少到211米。使用SGP4星历表可以使定位误差增加到5.8 km以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ephemeris Error Modeling in Opportunistic LEO Satellite Tracking with Pseudorange and Doppler Measurements
A framework for tracking the ephemerides of low Earth orbit (LEO) satellites is presented. This framework considers a known receiver that tracks the position and velocity states of LEO satellites using pseudorange and Doppler measurements extracted opportunistically from the satellite’s signals. An analytical procedure to estimate the epoch time adjustment to reduce the simplified general perturbation 4 (SGP4)-propagated ephemerides errors is developed. An extended Kalman filter (EKF) is formulated in which the satellite’s argument of latitude is estimated in a closed-loop fashion using pseudorange or Doppler observables, and subsequently, an epoch time adjustment is approximated to reduce the satellite state initialization errors. A simulation study is conducted to validate the proposed framework for a Starlink satellite, where the initialization errors were reduced from 1,880 m when using SGP4 ephemerides to 356 m and 367 m when using pseudorange and Doppler measurements, respectively. Experimental results are presented where the ephemerides of an Orbcomm LEO satellite’s ephemerides are refined: the satellite’s position RMSE is reduced from over 7.1 km with SGP4 open-loop propagation to 242 m after the implementation of the proposed tracking framework. The tracked ephemerides are then used to localize a ground receiver, reducing the initial error from 2.67 km to 211 m. Using the SGP4 ephemerides was shown to increase the localization error to over 5.8 km.
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