{"title":"伽利略E1信号跟踪算法的性能评估","authors":"Alexandru Rusu Casandra, A. Paun","doi":"10.1109/ICCOMM.2018.8430106","DOIUrl":null,"url":null,"abstract":"Global Navigation Satellite System (GNSS) receivers are currently the standard equipment for precision positioning, navigation and timing, but their use in challenging environments, such as urban and natural canyons, is made difficult due to reduced Line of Sight visibility, multipath propagation conditions or RF interference from nearby sources. In the next years, given the announced plans of GNSS operators, the number of satellites will increase to more than 120 - with even more signals and frequencies. Today there are more than 70 operational GNSS satellites in orbit from several GNSS systems, transmitting a variety of signals on multiple frequencies. A multi-constellation receiver could benefit from the large envisioned number of visible satellites, especially in urban canyons and industrial areas with very tall obstacles, where only satellites at high elevations are in line of sight with the receiver, but this assumption is valid only if the receiver can actually acquire and track the respective satellite signals. This is hard to attain in difficult signal conditions with single-constellation receivers: if one or more signals are lost because of obstacles or interferences, the receiver might not be able to determine the position, in case less than four valid pseudoranges are available. This paper describes a tracking algorithm implemented in Mathworks Matlab for Galileo El Open Service. After an overview of the state of the art, the work evaluates the performance obtained through Matlab simulations, such as the variation of the correlator replicas and of the local carrier frequency. 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引用次数: 1
摘要
全球导航卫星系统(GNSS)接收器目前是精确定位、导航和授时的标准设备,但由于视线可见度降低、多径传播条件或来自附近源的射频干扰,它们在城市和自然峡谷等具有挑战性的环境中的使用变得困难。根据全球导航卫星系统运营商公布的计划,未来几年卫星数量将增加到120多颗,信号和频率也将增加。目前,来自多个GNSS系统的70多颗GNSS卫星在轨运行,在多个频率上传输各种信号。多星座接收机可以从设想的大量可见卫星中受益,特别是在有很高障碍物的城市峡谷和工业区,只有高海拔的卫星在接收机的视线范围内,但这一假设只有在接收机能够实际获取和跟踪各自的卫星信号时才有效。这在单星座接收机的困难信号条件下很难实现:如果一个或多个信号由于障碍物或干扰而丢失,在可用的有效伪距离少于四个的情况下,接收机可能无法确定位置。本文描述了在Mathworks Matlab中为Galileo El Open Service实现的一种跟踪算法。在概述了目前的技术状况之后,该工作评估了通过Matlab仿真获得的性能,例如相关器副本和本地载波频率的变化。得出结论,环路跟踪伽利略El信号在不同信噪比值可能在现实生活中遇到的能力。
Performance Evaluation of a Tracking Algorithm for Galileo E1 Signals
Global Navigation Satellite System (GNSS) receivers are currently the standard equipment for precision positioning, navigation and timing, but their use in challenging environments, such as urban and natural canyons, is made difficult due to reduced Line of Sight visibility, multipath propagation conditions or RF interference from nearby sources. In the next years, given the announced plans of GNSS operators, the number of satellites will increase to more than 120 - with even more signals and frequencies. Today there are more than 70 operational GNSS satellites in orbit from several GNSS systems, transmitting a variety of signals on multiple frequencies. A multi-constellation receiver could benefit from the large envisioned number of visible satellites, especially in urban canyons and industrial areas with very tall obstacles, where only satellites at high elevations are in line of sight with the receiver, but this assumption is valid only if the receiver can actually acquire and track the respective satellite signals. This is hard to attain in difficult signal conditions with single-constellation receivers: if one or more signals are lost because of obstacles or interferences, the receiver might not be able to determine the position, in case less than four valid pseudoranges are available. This paper describes a tracking algorithm implemented in Mathworks Matlab for Galileo El Open Service. After an overview of the state of the art, the work evaluates the performance obtained through Matlab simulations, such as the variation of the correlator replicas and of the local carrier frequency. Conclusion are drawn about the capability of the loop to track the Galileo El signal at different SNR values that may be encountered in real-life situations.