基于数据融合技术的室内定位系统研究
[Abstract]:At present, there are two kinds of technologies available in outdoor positioning technology in our country: GPS and Beidou, but there are not many practical technologies that can be used in indoor positioning. With the development of Internet of things technology, the demand for accurate indoor positioning has been put forward in many different fields, including the navigation of shopping malls, the tracking of items, the positioning of students in schools, and so on. Under this demand, outdoor positioning technology can not provide enough accurate positioning data, and indoor positioning technology must be used to complete the positioning. The general cost of professional indoor positioning system is high, so it is difficult to control the application cost in the case of large indoor layout. In order to solve the above contradictions, the research on low-cost indoor positioning technology has been favored by many researchers in recent years. This paper relies on Changchun Science and Technology Planning Project "Research on accurate location and dredging system of trapped people in High-rise Building Rescue" and Changchun Science and Technology Plan Project "key Technology of Intelligent Building Information Integration based on Internet of things" and Application platform construction, An indoor positioning system based on inertial system and ZigBee positioning system is designed and implemented. On the basis of ZigBee positioning technology, in order to improve the positioning accuracy of ZigBee positioning, the inertial system is increased. By integrating the data of inertial system and the data of ZigBee positioning system, more accurate positioning results are obtained. High positioning accuracy is obtained under the condition of low cost arrangement. After testing, the indoor positioning system designed in this paper can greatly improve the poor positioning accuracy of a single ZigBee indoor positioning system. Through Kalman filter combined with inertial data measured by inertial system and indoor positioning data based on RSSI, the accuracy of the original indoor positioning system based on ZigBee is improved from about 2 meters to between 50 centimeters. It greatly improves the positioning effect and has certain application value and research value.
【学位授予单位】:吉林建筑大学
【学位级别】:硕士
【学位授予年份】:2017
【分类号】:TN92
【相似文献】
相关期刊论文 前10条
1 ;室内定位蓄势待发[J];建材发展导向;2013年06期
2 赵军;李鸿斌;王智;;无线网络室内定位系统研究[J];信息与控制;2008年04期
3 梁韵基;周兴社;於志文;倪红波;;普适环境室内定位系统研究[J];计算机科学;2010年03期
4 汪苑;林锦国;;几种常用室内定位技术的探讨[J];中国仪器仪表;2011年02期
5 王丽英;;导航发展的新热点——室内定位[J];今日电子;2011年12期
6 ;卫星信号易被干扰 室内定位技术解析[J];金卡工程;2012年07期
7 李振;姚以鹏;;大型公共场馆智能室内定位导游系统的技术研究[J];广东科技;2013年12期
8 袁飞;;浅谈室内定位与机场旅客个性化服务[J];中国科技信息;2014年08期
9 张玉梅;康晓霞;;救援队员室内定位技术分析[J];消防科学与技术;2012年06期
10 杨华;刘军发;陈益强;;一种基于多终端动态协同的室内定位方法[J];计算机应用研究;2012年07期
相关会议论文 前8条
1 张立立;钟耳顺;;无线室内定位技术[A];中国地理信息系统协会第八届年会论文集[C];2004年
2 郭明涛;李文元;龚福春;;室内定位方法分析[A];2007北京地区高校研究生学术交流会通信与信息技术会议论文集(下册)[C];2008年
3 郭旭斌;叶长城;王忆文;李辉;;基于无线传感器网络的室内定位系统[A];第十五届计算机工程与工艺年会暨第一届微处理器技术论坛论文集(A辑)[C];2011年
4 房秉毅;李熹;;超宽带室内定位系统研究[A];2005年全国超宽带无线通信技术学术会议论文集[C];2005年
5 高雪晨;蒋泰;曹林峰;;基于RFID的室内定位系统设计[A];广西计算机学会2012年学术年会论文集[C];2012年
6 徐劲松;卢晓春;边玉敬;;基于UWB的室内定位系统设计与仿真[A];2009全国时间频率学术会议论文集[C];2009年
7 雷地球;罗海勇;刘晓明;;一种基于WiFi的室内定位系统设计与实现[A];第六届和谐人机环境联合学术会议(HHME2010)、第19届全国多媒体学术会议(NCMT2010)、第6届全国人机交互学术会议(CHCI2010)、第5届全国普适计算学术会议(PCC2010)论文集[C];2010年
8 胡斌;宋娜娜;;基于航位推测技术的消防人员室内定位系统研究[A];2014中国消防协会科学技术年会论文集[C];2014年
相关重要报纸文章 前10条
1 本报记者 马静t,
本文编号:2482057
本文链接:https://www.wllwen.com/kejilunwen/xinxigongchenglunwen/2482057.html