LANDMARC定位系统及其算法的研究

发布时间：2018-01-25 13:58

本文关键词： 移动通信室内定位技术无线射频识别(RFID) LANDMARC算法权值定义　出处：《中南大学》2014年硕士论文　论文类型：学位论文

【摘要】：摘要：随着移动通信和无线技术的快速发展,越来越多的应用需要知道目标物体的位置信息。室外定位方面,GPS等全球卫星定位系统、无线蜂窝定位系统以及一些其他的地面导航系统已经广泛运用在工作生活各个方面。但是在室内定位系统中,虽然有很多种定位技术,如ZigBee、Infrared、Ultrasound、蓝牙WiFi等,但由于室内环境比较复杂,多径效应影响严重,这些技术的定位效果不是很明显。而射频识别技术(RFID)同时具有成本低,非视距,非接触等特点,并能通过与互联网通信技术的结合,实现大范围的物品跟踪识别与信息共享。本文首先对RFID室内定位的相关技术进行概述,然后以RFID室内定位的经典算法LANDMARC为基础,观察其性能特点以及可能影响其变化的方面,对LANDMARC算法进行探索性研究。本文主要从两个方面对LANDMARC算法进行改进。第一,两个离阅读器距离很近并且相同的标签,它们的RSS值并不相同,即跟阅读器距离很近时,RSS值倾向于呈线性非相关关系,这样传统LANDMARC系统的权值定义就有着明显的缺陷,本文的权值定义法增加了一个与距离相关的因子,使之调节定位精度。第二,由于室内环境的多径效应影响严重,接收到的RSS值有一定的误差,因此需要增加一个回馈因子,对RSS值进行修正。理论分析和仿真实验表明,改进后算法的误差小于0.2m,最大误差不到0.3m,定位精度相对原LANDMARC算法有了明显的提高。
[Abstract]:Absrtact: with the rapid development of mobile communication and wireless technology, more and more applications need to know the location information of the target object. Wireless cellular positioning systems and some other terrestrial navigation systems have been widely used in all aspects of working life, but in indoor positioning systems, although there are many kinds of positioning technology, such as ZigBee. Infrastructure ultrasound, Bluetooth WiFi, etc., but due to the indoor environment is more complex, the effect of multipath effect is serious. The localization effect of these technologies is not very obvious, while RFID technology has the characteristics of low cost, non-visual distance, non-contact, and can be combined with Internet communication technology. To achieve a wide range of object tracking identification and information sharing. This paper first summarizes the relative technologies of RFID indoor positioning, and then based on the classical LANDMARC algorithm of RFID indoor positioning. Observe its performance characteristics and possible aspects that may affect its changes, and explore the LANDMARC algorithm. This paper mainly from two aspects to improve the LANDMARC algorithm. First. Two tags that are close to the reader and have the same RSS value are not the same, that is, the RSS values tend to be linearly unrelated when they are close to the reader. In this way, the traditional weight definition of LANDMARC system has obvious defects. In this paper, the weight definition method adds a distance related factor to adjust the positioning accuracy. Because the multipath effect of indoor environment is serious and the received RSS value has some errors, it is necessary to add a feedback factor to modify the RSS value. The theoretical analysis and simulation results show that. The error of the improved algorithm is less than 0.2 m and the maximum error is less than 0.3 m. The positioning accuracy of the improved algorithm is obviously higher than that of the original LANDMARC algorithm.
【学位授予单位】：中南大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5;TP391.44

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