Suppr超能文献

迈向分布式磁性室内定位系统。

Towards a Decentralized Magnetic Indoor Positioning System.

作者信息

Kasmi Zakaria, Norrdine Abdelmoumen, Blankenbach Jörg

机构信息

Institute for Computing in Civil Engineering & Geo Information Systems, Rheinisch-Westfälische Technische Hochschule Aachen University, Mies-van-der-Rohe-Str. 1, Aachen 52074, Germany.

出版信息

Sensors (Basel). 2015 Dec 4;15(12):30319-39. doi: 10.3390/s151229799.

Abstract

Decentralized magnetic indoor localization is a sophisticated method for processing sampled magnetic data directly on a mobile station (MS), thereby decreasing or even avoiding the need for communication with the base station. In contrast to central-oriented positioning systems, which transmit raw data to a base station, decentralized indoor localization pushes application-level knowledge into the MS. A decentralized position solution has thus a strong feasibility to increase energy efficiency and to prolong the lifetime of the MS. In this article, we present a complete architecture and an implementation for a decentralized positioning system. Furthermore, we introduce a technique for the synchronization of the observed magnetic field on the MS with the artificially-generated magnetic field from the coils. Based on real-time clocks (RTCs) and a preemptive operating system, this method allows a stand-alone control of the coils and a proper assignment of the measured magnetic fields on the MS. A stand-alone control and synchronization of the coils and the MS have an exceptional potential to implement a positioning system without the need for wired or wireless communication and enable a deployment of applications for rescue scenarios, like localization of miners or firefighters.

摘要

分散式磁性室内定位是一种在移动台(MS)上直接处理采样磁数据的复杂方法,从而减少甚至避免与基站通信的需求。与将原始数据传输到基站的面向中心的定位系统不同,分散式室内定位将应用级知识推送到移动台。因此,分散式定位解决方案在提高能源效率和延长移动台寿命方面具有很强的可行性。在本文中,我们提出了一种分散式定位系统的完整架构和实现方法。此外,我们还介绍了一种用于使移动台上观测到的磁场与线圈产生的人工磁场同步的技术。基于实时时钟(RTC)和抢占式操作系统,该方法允许对线圈进行独立控制,并在移动台上正确分配测量到的磁场。线圈和移动台的独立控制与同步具有实现无需有线或无线通信的定位系统的巨大潜力,并能够部署用于救援场景的应用,如矿工或消防员的定位。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3edb/4721720/e521db4baa03/sensors-15-29799-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验