With the rapid development of wireless LAN,we are more dependent on wireless access point to access the Internet with multiple devices at the same time,so the information security of wireless network is also prominent.It can improve the security of wireless network from the source to locate the rouge AP.In this paper,we use two characteristics of skewness and kurtosis to identify the direct path by com-parison of the received fine-grained channel state information (CSI) based on the shape and based on the statistics.After identification the line-of-sight path information of the CSI amplitude is used for distance estimation and positioning.Comparing the effective CSI commonly used of the weighted average of the value,this method has clear path information and eliminates the effect of multipath signal interfere so that it is more stable to signal and more accurate in positioning.We implement the LOS-based localization on commercial 802.11n NICs,and then evaluate its performance in two typical indoor scenarios.According to the experiment we can find that the accuracy of distance calcula-tion can be significantly enhanced by proposed method.%随着无线局域网的快速发展,人们更加依赖于通过无线接入点AP来使多个设备同时接入互联网,AP的安全问题也凸显出来,而通过定位找到非法的无线接入点可以从源头上提高网络信息安全性.通过对接收的细粒度的信道状态信息(CSI)的基于形状和基于统计的特征对比,利用峰度和偏度两个特征来对直视路径进行识别,然后利用识别后的直视路径的CSI幅度进行距离估计和定位,比通常采用的加权平均得到的CSI值有效,明确了直视路径的信息,消除了多径的影响,信号更加稳定,定位精度更高.采用市场上商用的标准网卡对提出的方法在两种典型室内环境中进行了实验,验证了采用直视路径识别机制得到的CSI幅度信息更加稳定,距离估计更加精确.
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