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The state estimation of UAV based on UKF

机译:基于UKF的UV国家估算

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摘要

In order to achieve the UAV's precise positioning of the radiation target, firstly is to do the state estimation itself. The BDS/INS Integrated Navigation system is a high-precision real-time navigation scheme which has been widely used, it is not only able to pinpoint the UAV, but also can provide the UAV's navigation information such as speed, acceleration and attitude angle etc. so it can meet the scout equipment's work demands on UAV. This article make the Unscented Karman Filter (UKF) algorithm apply to BDS/INS Integrated Navigation system, built the UAV state estimation system and compared with experimental EKF scheme. The experimental result shows that the BDS/INS Integrated Navigation System using UKF for UAV can conduct a comprehensive and highly accurate state estimation.
机译:为了实现辐射目标的无人机的精确定位,首先是做出状态估计本身。 BDS / INS集成导航系统是一种高精度的实时导航方案,已被广泛使用,它不仅能够确定无人机,还可以提供无人机的导航信息,如速度,加速和姿态角度等。所以它可以满足侦察设备对无人机的工作需求。本文使得无效的Karman过滤器(UKF)算法适用于BDS / INS集成导航系统,建立了UAV状态估计系统,并与实验EKF方案进行了比较。实验结果表明,使用UKF用于无人机的BDS / INS综合导航系统可以进行全面且高度准确的状态估计。

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