基于相邻子信道差分的CSI定位算法
CSI Indoor Localization Algorithm based on the Difference between Adjacent Sub-channels
近年来,随着无线设备的逐渐普及,基于定位需求服务日益增长,室内定位技术成为研究热点。其中基于WiFi网络室内定位技术由于具有部署便捷和低成本等优势成为室内定位技术主流。然而现有的基于WiFi定位技术大多通过测量接收端的 RSSI(Received Signal Strength Indicator)生成指纹来完成定位,由于受RSSI信号时变性和多径效应影响,现有WiFi定位技术存在较大误差。与此不同,论文使用新一代高速WiFi特有的可反映物理信道特征并具有多径区分能力的信道状态信息CSI(Channel State Information),结合MIMO(Multiple Input Multiple Output)天线技术,采用相邻子信道差提取定位特征值方法构建定位指纹库,实现室内高精度定位。实验结果表明,使用MIMO的基于信道差分的CSI指纹定位算法可获得0.98m的平均定位精度,明显优于使用SISO(Single Input Single Output)CSI指纹定位算法性能。
In recent years, with the growing popularity of the Wi-Fi devices,the need forlocation is growing,andindoor location technology has become a research hotpot. because of the convenient and low cost, the indoor location technology which are based on widely deployed Wi-Fi network is very popular.By measuring the RSSI (Received Signal Strength Indicator) in receiver to generate fingerprints to complete positioning. However, In the process of measurement, under the influence of time-varying and multipath effect, the results of final positioning results has certain errors. In this paper, We use CSI(the Channel State Information) which reflects the characteristics of the physical Channel to locate,Combining MIMO(Multiple Input Multiple Output) technology, Usingthe method which get the diff value between adjacent sub-channels to extract characteristic values and generate fingerprints, the results shows: with MIMO and difference between sub-channels 'method, location accuracy is better than the method using SISO(Single Input Single Output) or RSSI, the average accuracy is about 0.98m.
薛凯文、李朝晖、赵方
无线通信通信电子技术应用
室内定位SI指纹匹配MIMO
indoor localizationSIfingerprint matchingMIMO
薛凯文,李朝晖,赵方.基于相邻子信道差分的CSI定位算法[EB/OL].(2015-12-18)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/201512-1015.点此复制
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