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Federated ultra-tightly coupled GPS/INS integrated navigation system based on vector tracking for severe jamming environment

机译:基于矢量跟踪的联邦超紧密耦合GPS / INS组合导航系统,用于恶劣的干扰环境

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摘要

Considering all integration methods currently available for global positioning system (GPS) and inertial navigation system (INS) integrated navigation system, ultra-tightly coupled (UTC) GPS/INS system is the best choice for accurate and robust navigation. However the performance of UTC GPS/INS system based on scalar tracking (ST) degrades in severe jamming environments. To solve this problem an innovative federated UTC GPS/INS system based on vector tracking (VT) is proposed. On the basis of UTC integration, three Kalman filters are developed to accomplish the goals of signal amplitude estimation, VT and integration navigation. By replacing the traditional ST loops with VT filter, the tracking ability is remarkably reinforced. More importantly, a new mathematical model of VT is proposed and the key innovation of this model is that it can provide adaptation ability to integration Kalman filter, so that the navigation performance can be improved under various jamming conditions. A simulation platform covering all procedures of GPS/INS integrated navigation is employed to verify the effectiveness of the proposed architecture. Tracking and navigation results show that the federated UTC GPS/INS integrated system based on VT improves both the tracking and navigation performance significantly under severe jamming environments compared with that of ST system.
机译:考虑到当前可用于全球定位系统(GPS)和惯性导航系统(INS)集成导航系统的所有集成方法,超紧密耦合(UTC)GPS / INS系统是进行准确而可靠的导航的最佳选择。但是,在严重的干扰环境中,基于标量跟踪(ST)的UTC GPS / INS系统的性能会降低。为了解决这个问题,提出了一种基于矢量跟踪(VT)的创新的联合UTC GPS / INS系统。在UTC集成的基础上,开发了三个卡尔曼滤波器以实现信号幅度估计,VT和集成导航的目标。通过用VT滤波器代替传统的ST回路,跟踪能力得到了显着增强。更为重要的是,提出了一种新的VT数学模型,该模型的关键创新在于它可以为集成卡尔曼滤波器提供自适应能力,从而可以在各种干扰条件下提高导航性能。一个涵盖GPS / INS集成导航所有过程的仿真平台被用来验证所提出体系结构的有效性。跟踪和导航结果表明,与ST系统相比,基于VT的联合UTC GPS / INS集成系统在恶劣的干扰环境下显着提高了跟踪和导航性能。

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