Robot self-localization in ultra-wideband large scale multi-node setups

Reza Zandian, U. Witkowski
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引用次数: 14

Abstract

The large bandwidth of the UWB (UltraWideband) communication systems, makes it ideal for time of travel localization techniques such as ToA (Time of Arrival) and TDoA (Time Difference of Arrival). The techniques based on ToA demand high rate of network traffic which are not suitable for multi-node setups. The TDoA however, addresses this issue, making it possible to have several anchors and nodes at the same time. This paper discusses the two possible setup structures of TDoA technique and provides a comparison of them. The focus of this paper is on the forward TDoA method, which can effectively be used for an unlimited number of robots in the setup with minimum network traffic and high rate of position data updates. A method has been proposed for synchronization of the clocks in anchors based on the Kalman Filter. The positioning algorithm is implemented using the Extended Kalman Filter. The results prove good performance of the method for positioning of large number of robots with accepted level of accuracy and computational effort.
超宽带大规模多节点环境下的机器人自定位
UWB(超宽带)通信系统的大带宽使其成为ToA(到达时间)和TDoA(到达时间差)等旅行时间定位技术的理想选择。基于ToA的技术对网络流量的要求很高,不适合多节点组网。然而,TDoA解决了这个问题,使得同时拥有多个锚点和节点成为可能。本文讨论了TDoA技术的两种可能的设置结构,并对它们进行了比较。本文的重点是前向TDoA方法,该方法可以有效地用于设置中无限数量的机器人,且网络流量最小,位置数据更新率高。提出了一种基于卡尔曼滤波的锚点时钟同步方法。定位算法采用扩展卡尔曼滤波实现。结果表明,该方法对大量机器人的定位具有良好的性能,具有可接受的精度和计算量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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