利用周期传输卫星位置的LEO卫星信号进行导航的性能评估

Christian T. Ardito, Joshua Morales, Joe J. Khalife, Ali A. Abdallah, Z. Kassas
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引用次数: 34

摘要

对低地球轨道卫星信号下的导航性能进行了评价。用于执行此评估的导航框架将车辆惯性导航系统(INS)与来自低轨道卫星的多普勒和伪距测量紧密集成。考虑以下场景。车辆可以获得全球导航卫星系统(GNSS)信号和关于低轨道卫星状态的先验的、不确定的信息。车辆通过将GNSS伪距测量与机载INS紧密结合进行导航。在GNSS信号可用期间,飞行器通过伪距和多普勒测量来跟踪低轨道卫星,改进对它们状态的估计。接下来,假定GNSS信号不可用。飞行器过渡到同步跟踪和导航(STAN)模式,在这种模式下,它同时跟踪LEO卫星,并通过将在LEO卫星上进行的伪距和多普勒测量与机载INS相结合进行导航。该导航框架的性能在两种情况下进行了评估:低轨道卫星定期发送其位置和不发送此类信息的情况。给出了现有的Orbcomm和Globalstar低轨道卫星星座以及未来的Starlink卫星星座的仿真结果。假定低轨道卫星周期性地传送它们的位置。这些模拟结果考虑配备战术级惯性测量单元(IMU)的无人机(UAV)在600秒内导航81.6公里,其中GNSS信号仅在前100秒可用。版权所有c©2019由C.T. Ardito, J.J. Morales, J.J. Khalife, A.A. Abdallah和Z.M. Kassas在2019年1月28日至31日在美国雷斯顿举行的2019 ION ITM会议上证明,ins - orbcom - globalstar系统的最终位置误差为93.01 m, INS-Starlink系统的最终位置误差为9.81 m。INS-Orbcomm-Globalstar系统的位置均方根误差(RMSE)为58.59 m, INS-Starlink系统的位置均方根误差为10.13 m。介绍了现有Orbcomm低轨道卫星的实验结果,其中仅对两颗可用卫星进行了多普勒测量。实验结果是在配备战术级IMU的地面车辆上进行的,该车辆在258秒内行驶了7.5公里,其中GNSS信号仅在前30秒内可用。结果表明,在没有GNSS信号的情况下,惯导系统的最终定位误差为3.73 km,位置RMSE为1.42 km。另一方面,INS-Orbcomm系统对卫星发射报文的位置进行解码时,最终位置误差为233.3 m,位置RMSE为188.6 m。如果不对该位置进行解码,仅从STAN框架估计,则最终位置误差为476.3 m,位置RMSE为195.6 m。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Evaluation of Navigation Using LEO Satellite Signals with Periodically Transmitted Satellite Positions
The navigation performance with low Earth orbit (LEO) satellite signals is evaluated. The navigation framework used to perform this evaluation tightly integrates a vehicle’s inertial navigation system (INS) with Doppler and pseudorange measurements from LEO satellites. The following scenario is considered. A vehicle has access to global navigation satellite system (GNSS) signals and a priori, uncertain information about LEO satellite states. The vehicle navigates by tightly integrating GNSS pseudorange measurements with its onboard INS. During the period when GNSS signals are available, the vehicle tracks the LEO satellites from pseudorange and Doppler measurements, refining estimates about their states. Next, GNSS signals are assumed to be unavailable. The vehicle transitions to a simultaneous tracking and navigation (STAN) mode where it simultaneously tracks the LEO satellites and navigates by integrating pseudorange and Doppler measurements made on the LEO satellites with its onboard INS. The performance of this navigation framework is evaluated for two cases: when the LEO satellites periodically transmit their position and when the do not transmit such information. Simulation results with existing LEO satellite constellations pertaining to Orbcomm and Globalstar as well as the future satellite constellation pertaining to Starlink are presented. It was assumed that the LEO satellites are periodically transmitting their positions. These simulation results consider an unmanned aerial vehicle (UAV) equipped with a tactical-grade inertial measurement unit (IMU) navigating for 81.6 km in 600 seconds, in which GNSS signals were only available for the first 100 seconds. It is demonstrated Copyright c © 2019 by C.T. Ardito, J.J. Morales, J.J. Khalife, A.A. Abdallah, and Z.M. Kassas Preprint of the 2019 ION ITM Conference Reston, VA, January 28–31, 2019 that the final position error of the INS-Orbcomm-Globalstar system was 93.01 m while the INS-Starlink system was 9.81 m. The position root mean squared error (RMSE) of the INS-Orbcomm-Globalstar system was 58.59 m while the INS-Starlink system was 10.13 m. Experimental results with existing Orbcomm LEO satellites are presented in which only Doppler measurements were made on two available satellites. The experimental results were conducted on a ground vehicle equipped with a tactical-grade IMU that traversed 7.5 km in 258 seconds, in which GNSS signals were only available for the first 30 seconds. It is demonstrated that the final position error of the INS without GNSS signals was 3.73 km and the position RMSE was 1.42 km. On the other hand, the final position error of the INS-Orbcomm system was 233.3 m and the position RMSE was 188.6 m when the position of the satellite was decoded from its transmitted message. If such position was not decoded and was estimated only from the STAN framework, the final position error was 476.3 m and the position RMSE was 195.6 m.
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