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Integrated GPS, LORAN-C and INS for Land Navigation Applications

机译:综合GPS,LORAN-C和陆地导航应用程序

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LORAN-C has long been considered as a backup system to GPS since it uses long wavelength signals that are robust to interference and operate at a very different frequency to GPS. However, the performance of LORAN-C based positioning for land applications has not been demonstrated to meet the requirements for the majority of applications. Additional non-GPS sensors are therefore needed to integrate with LORAN-C in order to improve the positioning accuracy. Applications such as land and sea navigation could make use of the improved reliability that such a system could afford. In addition, in the future when applications such as road user charging become prolific, an alternative to GPS positioning may become necessary as GPS signals are very easily jammed. This paper investigates the performance of an integrated GPS/INS/LORAN-C system. When GPS measurements are available they can be used to estimate the errors on the LORAN-C signals. In the absence of GPS signals, LORAN-C measurements can be used for long periods of time to aid inertial sensors to provide continuous positioning in all environments. The paper demonstrates that a prototype system using GPS, LORAN-C and a tactical grade INS can provide positioning performance of better than 64m in all environments, including the dense urban conditions of a large UK city. The integration algorithms are described using a Kalman filter to combine the three sensors. Future developments are also described to provide ways in which the prototype system can be potentially improved.
机译:Loran-C已被认为是GPS的备份系统,因为它使用了长波长信号,该信号具有强大的干扰和以非常不同的频率运行到GPS。但是,基于Loran-C的土地应用定位的性能尚未证明符合大多数应用的要求。因此需要额外的非GPS传感器与Loran-C集成以提高定位精度。陆地和海洋导航等应用可以利用这种系统可以承受的提高的可靠性。此外,在未来的诸如道路用户充电的应用成为多产的应用时,GPS定位的替代方案可能是必要的,因为GPS信号非常容易卡住。本文调查了集成GPS / INS / LORAN-C系统的性能。当可用GPS测量时,它们可用于估计Loran-C信号上的错误。在没有GPS信号的情况下,Loran-C测量可以长时间使用,以帮助惯性传感器在所有环境中提供连续定位。本文演示了使用GPS,Loran-C和战术等级的原型系统可以在所有环境中提供优于64米的定位性能,包括大英国城市的密集城市条件。使用卡尔曼滤波器描述集成算法以组合三个传感器。还描述了未来的发展,以提供可以潜在地改善原型系统的方式。

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