Tian Zengshan, Li Ze, Zhou Mu, Jin Yue, Wu Zipeng
Chongqing Key Lab of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Sensors (Basel). 2016 Oct 10;16(10):1664. doi: 10.3390/s16101664.
The aim of this paper is to present a new indoor localization approach by employing the Angle-of-arrival (AOA) and Received Signal Strength (RSS) measurements in Wi-Fi network. To achieve this goal, we first collect the Channel State Information (CSI) by using the commodity Wi-Fi devices with our designed three antennas to estimate the AOA of Wi-Fi signal. Second, we propose a direct path identification algorithm to obtain the direct signal path for the sake of reducing the interference of multipath effect on the AOA estimation. Third, we construct a new objective function to solve the localization problem by integrating the AOA and RSS information. Although the localization problem is non-convex, we use the Second-order Cone Programming (SOCP) relaxation approach to transform it into a convex problem. Finally, the effectiveness of our approach is verified based on the prototype implementation by using the commodity Wi-Fi devices. The experimental results show that our approach can achieve the median error 0.7 m in the actual indoor environment.
本文旨在提出一种新的室内定位方法，该方法通过在Wi-Fi网络中利用到达角（AOA）和接收信号强度（RSS）测量值来实现。为实现这一目标，我们首先使用配备我们设计的三天线的商用Wi-Fi设备收集信道状态信息（CSI），以估计Wi-Fi信号的AOA。其次，我们提出一种直接路径识别算法，以获得直接信号路径，从而减少多径效应对AOA估计的干扰。第三，我们构建一个新的目标函数，通过整合AOA和RSS信息来解决定位问题。尽管定位问题是非凸的，但我们使用二阶锥规划（SOCP）松弛方法将其转化为凸问题。最后，通过使用商用Wi-Fi设备的原型实现验证了我们方法的有效性。实验结果表明，我们的方法在实际室内环境中可以实现中位数误差为0.7米。
