Cortina:采用RSS和RToF技术的协作环境感知室内定位

2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops) Pub Date : 2011-03-21 DOI:10.1109/PERCOMW.2011.5766901

Zheng Sun, Richard Farley, Telis Kaleas, J. Ellis, Kiran Chikkappa

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引用次数: 30

摘要

Cortina是一种节能的室内定位系统，它利用无线传感器网络来支持导航和跟踪应用。为了提高定位性能，我们开发了一种结合RSS和rtof技术的混合测距系统。为了克服室内多路径的影响，我们设计并实现了考虑各种上下文信息的算法。我们在一个2000平方米的区域上对系统进行了评估，该区域有26个固定节点。评估结果表明，该系统在行人跟踪应用中达到了2.5m的精度。

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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Cortina: Collaborative context-aware indoor positioning employing RSS and RToF techniques

Cortina is an energy-efficient indoor localization system, which leverages a wireless sensor network to support navigation and tracking applications. To improve the localization performance, we develop a hybrid ranging system, which incorporate both RSS and RToF-based techniques. To overcome effects from indoor multipath, we design and implement algorithms to take into account various contextual information. We evaluated the system over a 2000m2 area instrumented with twenty-six fixed nodes. Evaluation results show the system achieved 2.5m accuracy in a pedestrian tracking application.

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2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)

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