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地震废墟环境下Wi-Fi无线信号传播模型参数测量
引用本文:武有文,洪利,姚振静,韩智明,李亚南.地震废墟环境下Wi-Fi无线信号传播模型参数测量[J].震灾防御技术,2017,12(1):210-219.
作者姓名:武有文  洪利  姚振静  韩智明  李亚南
作者单位:1.中国石油大学 (华东), 山东青岛 266580
基金项目:地震科技星火计划项目:基于手机搜索的生命探测平台的研究(XH14072)
摘    要:本文主要针对地震废墟下手机Wi-Fi无线定位,分析实际废墟环境下Wi-Fi 2.4G无线信号的传播特性。通过对废墟结构的分析,使用矢量网络分析仪进行信道测量,对大尺度和小尺度衰减两种特性进行信道分析。采取理论预测和实际测量分析相结合的方法,对2008年5·12汶川地震的极重灾区遗址进行了废墟实地测量。对大尺度衰减进行路径损耗和钢筋混凝土吸收损耗分析,对小尺度衰减进行了平均超量时延和均方根时延分析,利用加窗、计算滑动均值,得到废墟下2.4G无线信号的传播规律,为下一步定位工作提供理论基础。

关 键 词:Wi-Fi    信道    建模    定位    路径损耗
收稿时间:2016/6/29 0:00:00

Parameter Measurement of Wi-Fi Radio Signal Propagating in Constrction Ruins by Earthquake
Wu Youwen,Hong Li,Yao Zhenjing,Han Zhiming and Li Ya''nan.Parameter Measurement of Wi-Fi Radio Signal Propagating in Constrction Ruins by Earthquake[J].Technology for Earthquake Disaster Prevention,2017,12(1):210-219.
Authors:Wu Youwen  Hong Li  Yao Zhenjing  Han Zhiming and Li Ya'nan
Institution:1.China University of Petroleum, Qingdao 266580, China2.Institute of Disaster Prevention, Sanhe 065200, China
Abstract:In this paper, we analyzed the transmission characteristic of Wi-Fi 2.4G wireless signal in the actual ruins environment, and studied the mobile phone Wi-Fi wireless location under the construction ruins by earthquake. Based on the analysis of the structure of the ruins, the vector network analyzer is used to measure the channel, and channel analysis is carried out from both large and small scale fading. After combining the theoretical prediction and experimental measuring at the site of "5·12" Wenchuan earthquake in China in 2008, the campaign is conducted from large scale fading and small scale attenuation parameters. Large scale attenuation is carried out by analyzing the path loss and the penetration loss of some particular materials, and small scale attenuation is experienced by analyzinging the mean excess delay and the root mean square delay. With the methods including window added and moving average, we obtain the regulation of the Wi-Fi 2.4G radio signal which is essential for further localization.
Keywords:Wi-Fi  Channel  Modeling  Localization  Path loss
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