基于CSI的被动式室内定位与目标计数方法研究
发布时间：2018-08-07 13:00
【摘要】：信息技术的高速发展改变了人们生活习惯，近年来，人们对基于位置服务的需求越来越强烈。GPS技术的成熟应用虽然能够满足人们对室外定位的各种需求，，然而由于GPS信号穿透能力差无法适用于室内环境，因此近年来大量科研人员提出了基于红外线、超声波、UWB、RFID和RSSI等技术的室内定位解决方案，这些方案在一定程度上解决了室内定位相关课题的一部分问题，但是他们对室内多个目标缺乏有效的解决方式。因此，探索一种新的技术用于解决室内定位，特别是对多目标进行处理，具有非常重要的意义和实用价值。 本文对现有室内定位解决方案进行深入研究，归纳总结了室内定位技术常用物理特性和方法，并对他们的优缺点进行了分析比较。提出一种基于CSI的被动式室内定位和目标计数解决方案，本文主要贡献和创新为： （1）分析现有室内定位所使用的技术，根据其技术特点指出这些方案的不足。 （2）定制Toshiba L311笔记本电脑和Intel5300无线网卡驱动搭建实验环境，通过实验分析比较CSI和RSSI的性质特点，证明CSI比RSSI更适用于室内定位相关课题的研究，并基于CSI提出一种被动式室内定位与目标计数方案。 （3）室内定位问题可分解为目标探测、目标定位和目标识别三个子问题。本文利用EWMA算法解决目标探测问题；基于Fingerprint实现目标定位；利用链路相关性，提出一种不基于目标识别的室内目标计数方法，为研究室内多目标定位相关课题提供了新的思路与启发。 （4）分析EWMA算法不同参数设置方式对目标探测准确率的影响，得到一组适用大部分室内环境的EWMA参数值。 （5）利用Java对本文方案进行仿真，分析影响性能的干扰因素，通过多组参数对本文方案进行性能评估。
[Abstract]:The rapid development of information technology has changed people's living habits. In recent years, the demand for location-based services is becoming stronger and stronger. The mature application of GPS technology can meet the needs of outdoor positioning. However, due to the poor penetration ability of GPS signals, many researchers have put forward indoor positioning solutions based on infrared, ultrasonic and RSSI technologies in recent years. To some extent, these schemes solve some problems related to indoor positioning, but they lack effective solutions to many indoor targets. Therefore, it is of great significance and practical value to explore a new technique to solve indoor positioning, especially to deal with multiple targets. In this paper, the existing indoor positioning solutions are deeply studied, the common physical characteristics and methods of indoor positioning technology are summarized, and their advantages and disadvantages are analyzed and compared. A passive indoor positioning and target counting solution based on CSI is proposed. The main contributions and innovations of this paper are as follows: (1) analyzing the existing indoor positioning technologies, According to its technical characteristics, the shortcomings of these schemes are pointed out. (2) Toshiba L311 notebook computer and Intel5300 wireless network card driver are customized to build the experimental environment, and the characteristics of CSI and RSSI are analyzed and compared through experiments. It is proved that CSI is more suitable than RSSI for the research of indoor positioning related subjects, and a passive indoor positioning and target counting scheme based on CSI is proposed. (3) the indoor positioning problem can be decomposed into target detection. There are three sub-problems of target location and target recognition. In this paper, EWMA algorithm is used to solve the problem of target detection, Fingerprint is used to realize target location, and link correlation is used to propose an indoor target counting method, which is not based on target recognition. It provides a new idea and inspiration for the research of indoor multi-target localization. (4) the influence of different parameter setting methods of EWMA algorithm on the accuracy of target detection is analyzed. A set of EWMA parameters suitable for most indoor environments is obtained. (5) the scheme is simulated by Java, the interference factors affecting the performance are analyzed, and the performance of the scheme is evaluated by multiple sets of parameters.
【学位授予单位】：杭州电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN92
本文编号：2170099
[Abstract]:The rapid development of information technology has changed people's living habits. In recent years, the demand for location-based services is becoming stronger and stronger. The mature application of GPS technology can meet the needs of outdoor positioning. However, due to the poor penetration ability of GPS signals, many researchers have put forward indoor positioning solutions based on infrared, ultrasonic and RSSI technologies in recent years. To some extent, these schemes solve some problems related to indoor positioning, but they lack effective solutions to many indoor targets. Therefore, it is of great significance and practical value to explore a new technique to solve indoor positioning, especially to deal with multiple targets. In this paper, the existing indoor positioning solutions are deeply studied, the common physical characteristics and methods of indoor positioning technology are summarized, and their advantages and disadvantages are analyzed and compared. A passive indoor positioning and target counting solution based on CSI is proposed. The main contributions and innovations of this paper are as follows: (1) analyzing the existing indoor positioning technologies, According to its technical characteristics, the shortcomings of these schemes are pointed out. (2) Toshiba L311 notebook computer and Intel5300 wireless network card driver are customized to build the experimental environment, and the characteristics of CSI and RSSI are analyzed and compared through experiments. It is proved that CSI is more suitable than RSSI for the research of indoor positioning related subjects, and a passive indoor positioning and target counting scheme based on CSI is proposed. (3) the indoor positioning problem can be decomposed into target detection. There are three sub-problems of target location and target recognition. In this paper, EWMA algorithm is used to solve the problem of target detection, Fingerprint is used to realize target location, and link correlation is used to propose an indoor target counting method, which is not based on target recognition. It provides a new idea and inspiration for the research of indoor multi-target localization. (4) the influence of different parameter setting methods of EWMA algorithm on the accuracy of target detection is analyzed. A set of EWMA parameters suitable for most indoor environments is obtained. (5) the scheme is simulated by Java, the interference factors affecting the performance are analyzed, and the performance of the scheme is evaluated by multiple sets of parameters.
【学位授予单位】：杭州电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN92
【参考文献】
相关期刊论文 前10条
1 徐原博;钟丽鸿;崔洋;何丽莉;曹英辉;胡成全;;基于无线传感器网络的极大似然定位法的分析[J];传感器与微系统;2011年10期
2 田增山;周非;谭颖;;一种新颖的CDMA移动通信系统无源定位算法[J];电波科学学报;2008年01期
3 甄杰,马晓红,张淑芳;非视线传播环境下基于TOA的综合无线定位算法[J];大连理工大学学报;2005年04期
4 张永顺;郭艺夺;赵国庆;王布宏;;MIMO双基地雷达空间多目标定位方法[J];电子与信息学报;2010年12期
5 王珊珊;殷建平;张国敏;蔡志平;;求解无线传感器网络定位问题的线性规划算法[J];计算机研究与发展;2009年05期
6 黄海;王潜平;谈玮;张国霞;郭永玲;;面向矿井监测的无线传感器网络节点的分析与设计[J];计算机应用与软件;2008年10期
7 罗庆生,韩宝玲;一种基于超声波与红外线探测技术的测距定位系统[J];计算机测量与控制;2005年04期
8 黄海青;方寿海;;基于超声波时延的无线传感器网络定位算法设计及仿真[J];计算机测量与控制;2011年10期
9 邱茂林,马颂德,李毅;计算机视觉中摄像机定标综述[J];自动化学报;2000年01期
10 周焰,李德仁;平面轮廓线之间的分块三角划分算法[J];系统工程与电子技术;2003年08期
本文编号：2170099
本文链接：https://www.wllwen.com/kejilunwen/wltx/2170099.html
