传感技术学报2018，Vol.31Issue(6)：957-962,6.DOI:10.3969/j.issn.1004-1699.2018.06.024
基于无线信道状态相位信息优化的定位算法
Localization Algorithm Based on Wireless Channel State Phase Information Optimization
摘要
Abstract
With the increasing demand for location services,indoor localization technology based on Wi-Fi has been one of the research hotspots. By detecting the impact of environmental changes on the channel state information ( CSI) ,Wi-Fi generally has the advantages such as strong versatility and low deployment cost. For the problem that most systems only use the amplitude feature of CSI,this paper designs and implements a localization algorithm based on the CSI phase feature optimization. This method combines the amplitude and phase parameters as a position fin-gerprint. Fingerprint databases were constructed after pre-smoothing and denoising the feature data,and then the classification of personnel positions was identified by machine learning methods. Because the phase and amplitude information can complement each other,it can make up for the misclassification of certain confusing positions,thus solving the problem of positioning accuracy and stability using a single feature. Experiments were performed in two different multipath scenarios. The effects of different fingerprint feature selections,data preprocessing methods,and three machine learning algorithms on positioning accuracy were compared. The results show that the proposed algo-rithm can generally increase by 13% on the basis of using only CSI amplitude characteristics.关键词
无线传感/室内定位/无线局域网/信道状态信息/机器学习Key words
wireless sensor/indoor localization/Wi-Fi/channel state information/machine learning分类
信息技术与安全科学引用本文复制引用
周明快,黄巍,陈滨,毛科技..基于无线信道状态相位信息优化的定位算法[J].传感技术学报,2018,31(6):957-962,6.基金项目
浙江省基础公益研究计划项目(LGG18F020018) （LGG18F020018）
