Modeling and benchmarking Ultra-Wideband localization for mobile robots

A. Bahr, Alexander Feldman, J. Colli-Vignarelli, S. Robert, C. Dehollain, A. Martinoli
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引用次数: 7

Abstract

Ultra-Wideband Impulse Radio (UWB-IR) is a technology that has great potential to solve numerous mobile robotic and asset tracking problems in GPS-denied environments. Our goal is to help software and hardware designers in improving the state-of-the-art in UWB-based robotic localization. We developed a test-bed where an UWB transmitter is attached to a mobile robot. By combining the received signals with the robot's position log acquired through the dead-reckoning sensors, we obtain UWB signals which are well referenced with respect to the transmitter-receiver distance and orientation. In addition, we provide a model for every component of the setup. The entire setup allows us to simulate from first principles every aspect of an UWB localization system and then to implement low-level signal processing as well as higher-level modulation and localization techniques. We implement an Automatic Gain Control (AGC) algorithm to demonstrate the rapid proto-typing capabilities of the test-bed. Our work shows how an UWB robotic system and its models can be involved in all phases of the development of a technology that can help robot's navigation, localization and communication algorithms.
移动机器人超宽带定位建模与基准测试
超宽带脉冲无线电(UWB-IR)是一项具有巨大潜力的技术,可以解决许多移动机器人和资产在gps拒绝环境中的跟踪问题。我们的目标是帮助软件和硬件设计人员改进基于uwb的机器人定位技术。我们开发了一个试验台,将超宽带发射机连接到移动机器人上。将接收到的信号与航位推算传感器获取的机器人位置日志相结合,得到了在收发距离和方向方面具有良好参考价值的超宽带信号。此外,我们还为设置的每个组件提供了一个模型。整个设置允许我们从基本原理模拟UWB定位系统的各个方面,然后实现低级信号处理以及高级调制和定位技术。我们实现了一个自动增益控制(AGC)算法来演示测试平台的快速原型能力。我们的工作展示了超宽带机器人系统及其模型如何参与一项技术开发的所有阶段,该技术可以帮助机器人的导航、定位和通信算法。
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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