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A TOF and Kalman filtering joint algorithm for IEEE802.15.4a UWB Locating

机译:IEEE802.15.4a UWB定位的TOF和Kalman滤波联合算法

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摘要

TOA (Time of Arrival) algorithm can be used to locate. However, the source of random error is from the clock out of sync, nodes' crystal frequency drift also causes inaccurate clock. So it needs to estimate channel parameters accurately, and eliminate the clock offset. But in the complex indoor environment, such as obstacles which cause the serious multipath propagation, one positioning method is not enough, reducing various errors is also an important thing. In this paper, the TOF (Time of Flight) and Kalman filtering joint algorithm will weaken the clock offset and positioning error. The simulation shows the feasibility of the proposed algorithm.
机译:可以使用TOA(到达时间)算法进行定位。但是,随机误差的来源是时钟不同步,节点的晶体频率漂移也会导致时钟不准确。因此,需要准确估计通道参数,并消除时钟偏移。但是在复杂的室内环境中,例如引起严重的多径传播的障碍物,一种定位方法是不够的,减少各种误差也是重要的。在本文中,TOF(飞行时间)和卡尔曼滤波联合算法将削弱时钟偏移和定位误差。仿真表明了该算法的可行性。

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