基于小波变换的Wifi定位数据分析和处理
首发时间:2014-07-29
摘要:随着数据业务和多媒体业务的快速增加,人们对位置服务的需求日益增大。用户无论在室外还是室内环境,快速准确地获得移动终端的位置信息和提供位置服务的需求变得日益迫切,位置服务已经成为我们生活中不可或缺的一部分。随着基于IEEE 802.11a/b/g/n通信协议的Wifi网络的提出,基于Wifi的定位已成为国内外研究的热点。但目前大多数基于Wifi运动目标定位跟踪存在定位精度不高、稳定度低、实时性差、对遮挡问题处理不佳等问题,本文提出了一种在利用三角形算法、粒子群算法、卡尔曼滤波等运动目标跟踪算法之前,利用小波分析处理采集到的原始数据的解决方案。通过小波变换实现对定位数据去噪与边界处理,为下一步的定位算法提供良好的数据.从而提高定位的准确度,确保定位跟踪的准确性。
关键词: 信号与信息处理 Wifi定位;小波分析变换 目标跟踪定位
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the Data Analysis and Processing of Location with Wifi Based on Wavelets
Abstract:With the great development of data services and multimedia services,the requirements of the location services become more and more.No matter where you are,it is urgent and necessary to acquire the position of the terminal of mobile accutely,and the services based on position is an essential part of our life.Along with the presentation and development of the communication protocal(IEEE 802.11a/b/g/n),the position based on Wifi has become a focus recently.But the most model about Wifi position in the moving targets have many shortcoming,such as the low accuracy and stability,bad real-time performance.In this paper one solution is put forward to process the raw data accuried in Wifi position using Wavelets before to locate position withTriangulation method,Particle Swarm Optimiization,KALAMAN FILTER .In this way ,the noise mingle in data can be filtered as well as the distinguish of data signal edge,prepared for the next position steps.so that the accuracy and stability of position based on Wifi could be improved.
Keywords: signal and information processing location with Wifi target tracking and location wavelets
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No.4603809984970140****
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