低轨卫星同步跟踪与差分低轨辅助IMU导航

Joe Saroufim, S. Hayek, Z. M. Kassas
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引用次数: 6

摘要

提出了一种基于低地球轨道机会卫星信号差分测量的导航框架。该框架包括一个状态未知的漫游车和一个或多个位置已知的基站。该框架在基于扩展卡尔曼滤波(EKF)的紧密耦合LEO辅助惯性导航系统(INS)中,融合来自漫游车和基站的差分伪距或多普勒测量到状态未知的LEO卫星,同时估计漫游车和LEO卫星的状态。通过仿真分析了不同数量的差分基站对导航性能的影响。模拟考虑了一架配备战术级惯性测量单元(IMU)、高度计、GNSS接收器和LEO接收器的飞行器,对14颗Starlink LEO卫星进行伪距和多普勒测量。车载接收机时钟被认为是一个烤箱控制的晶体振荡器(OCXO),而卫星配备了芯片级原子钟(CSACs)。该飞行器在300秒内飞行了28公里,其中最后23公里没有使用GNSS。结果表明,差分框架在使用伪距离测量时可以达到亚米级的精度,而利用双线元(TLE)文件获取的LEO星历表存在千米量级的误差。有了3个碱基,飞行器的三维(3- d)位置均方根误差(RMSE)急剧下降,使用伪距测量时的位置均方根误差达到28厘米,使用多普勒测量时的位置均方根误差达到1.94米。利用2颗Orbcomm LEO卫星的差分载波相位测量,给出了一架无人机(UAV)在120秒内导航2.28公里的实验结果。结果表明,使用TLE+SGP4对LEO卫星星历表进行三维定位的RMSE为419 m,而差分框架将其降低到12.79 m。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simultaneous LEO Satellite Tracking and Differential LEO-Aided IMU Navigation
A navigation framework with differential measurements from low Earth orbit (LEO) satellite signals of opportunity is presented. This framework comprises a navigating rover with unknown states and one or more base stations with known position(s). The framework fuses differenced pseudorange or Doppler measurements from the rover and base station(s) to LEO satellites with unkown states, in an extended Kalman filter (EKF)-based tightly-coupled LEO-aided inertial navigation system (INS), while estimating the rover's states simultaneously with the LEO satellites' states. Simulations are conducted to analyze the navigation performance due to including a varying number of differential base stations. The simulations considered an aerial vehicle equipped with a tactical-grade inertial measurement unit (IMU), an altimeter, a GNSS receiver, and a LEO receiver making pseudorange and Doppler measurements to 14 Starlink LEO satellites. The vehicle-mounted receiver clock was assumed to be an oven-controlled crystal oscillator (OCXO), while the satellites were equipped with chip-scale atomic clocks (CSACs). The aerial vehicle navigated for 28 km in 300 seconds, the last 23 km of which are without GNSS. It is shown that despite relying on two-line element (TLE) files for the LEO ephemerides, which suffer from errors on the order of kilometers, the differential framework could achieve submeter-level accuracy when using pseudo range measurements. With 3 bases, the vehicle's three-dimensional (3-D) position root mean-squared error (RMSE) drops dramatically, reaching a position RMSE of 28 cm when using pseudorange measurements and 1.94 m when using Doppler. Experimental results are presented for an unmanned aerial vehicle (UAV) navigating for 2.28 km in 120 seconds, while utilizing differential carrier phase measurements from 2 Orbcomm LEO satellites. It is shown that using TLE+SGP4 for the LEO satellites' ephemerides yields a 3-D position RMSE of 419 m, while the differential framework reduces it to 12.79 m.
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