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Adaptive robust ultra-tightly coupled global navigation satellite system/inertial navigation system based on global positioning system/BeiDou vector tracking loops

机译:基于全球定位系统/北斗矢量跟踪环的自适应鲁棒超紧耦合全球导航卫星系统/惯性导航系统

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With the development of global navigation satellite system (GNSS), the GNSS/inertial navigation system (INS) integrated system offers the users better positioning or navigation performance. This paper proposes an adaptive robust ultra-tightly coupled GNSS/INS system based on a novel vector tracking strategy for combining both global positioning system (GPS) L1 and BeiDou B1 signals' tracking together. The inherent mechanism of the vector tracking approach has been analysed to describe the relationship between the replica signals and user's dynamic state. Then, an adaptive robust filter is used to gain the accurate estimates of vehicle states when the vehicle is under a weak-signal or large manoeuvring environment. Finally, the experimental platform is set up using a GPS/BeiDou signal simulator and an inertial measurement unit simulator and the test results show that the proposed ultra-tightly coupled system can keep the tracking loops from the high dynamic perturbations, which saves the cost time of signal reacquisition. Moreover, the presented adaptive robust ultra-tightly coupled system can obtain a higher accuracy than Kalman filtering in a simultaneous weak-signal and large manoeuvring environment.
机译:随着全球导航卫星系统(GNSS)的发展,GNSS /惯性导航系统(INS)集成系统为用户提供了更好的定位或导航性能。本文提出了一种基于新型矢量跟踪策略的自适应鲁棒超紧密耦合GNSS / INS系统,该系统将全球定位系统(GPS)L1和北斗B1信号的跟踪结合在一起。已经分析了矢量跟踪方法的固有机制,以描述复制信号与用户动态状态之间的关系。然后,当车辆处于弱信号或大操纵环境时,自适应鲁棒滤波器用于获得车辆状态的准确估计。最后,利用GPS /北斗信号模拟器和惯性测量单元模拟器建立了实验平台,测试结果表明,所提出的超紧密耦合系统可以防止跟踪回路受到高动态扰动的影响,从而节省了时间。信号采集。此外,在同时存在弱信号和大机动性的环境中,所提出的自适应鲁棒超紧密耦合系统比卡尔曼滤波具有更高的精度。

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