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

机译:集成的GPS,LORAN-C和INS用于陆地导航应用

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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 ofrnLORAN-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.rnThis 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:长期以来,LORAN-C一直被认为是GPS的备用系统,因为它使用了长波长信号,该信号具有很强的抗干扰能力,并且工作频率与GPS完全不同。但是,尚未证明基于rnLORAN-C的陆地应用定位性能能够满足大多数应用的要求。因此,需要额外的非GPS传感器与LORAN-C集成,以提高定位精度。陆地和海上导航等应用程序可以利用这种系统所能提供的更高的可靠性。另外,在将来,诸如道路使用者收费之类的应用变得越来越多时,由于GPS信号很容易被干扰,因此可能有必要使用GPS定位的替代方法。 GPS测量可用时,可用于估计LORAN-C信号的误差。在没有GPS信号的情况下,可以长时间使用LORAN-C测量,以帮助惯性传感器在所有环境中提供连续定位。本文证明了使用GPS,LORAN-C和战术级INS的原型系统在包括英国大城市密集的城市环境在内的所有环境中都可以提供优于64m的定位性能。使用卡尔曼滤波器组合三个传感器来描述积分算法。还描述了未来的发展,以提供可以潜在地改进原型系统的方式。

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