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Research on WiFi Indoor Location Algorithm Based on RSSI Ranging

机译：基于RSSI测距的WiFi室内定位算法研究

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A weighted centroid algorithm of no height influence is proposed considering the influence of access point(AP) deployment height on positioning accuracy. Firstly, the received signal strength indication(RSSI) signal are collected and processed by Gaussian fitting and Kalman filtering, and the distance between terminal(such as phone) and AP is obtained according to indoor signal propagation model. Then, the vertical distance is eliminated by geometric method, and the plane distance between the AP and the terminal is obtained. Finally, the position coordinate is calculated by the weighted centroid algorithm of no height influence. For a multi-storey building, a Floor number recognition method is proposed, the two dimensional(2D) planar positioning and the Floor number recognition method are combined to construct a near three dimensional(N-3D) indoor location algorithm. In the laboratory building, the floor number was recognised with the above methods and the recognition rate is 100%. To do positioning experiments in the large classroom, the results showed that: compared to the traditional positioning algorithm, the improved algorithm have a certain increase on the accuracy and stability.
机译：考虑到接入点（AP）的部署高度对定位精度的影响，提出了一种不影响高度的加权质心算法。首先，通过高斯拟合和卡尔曼滤波对接收信号强度指示（RSSI）信号进行采集和处理，并根据室内信号传播模型获得终端（例如电话）与AP之间的距离。然后，通过几何方法消除垂直距离，并获得AP与终端之间的平面距离。最后，通过无高度影响的加权质心算法计算位置坐标。针对多层建筑物，提出了一种楼层号识别方法，将二维（2D）平面定位和楼层号识别方法相结合，构造了近三维（N-3D）室内定位算法。在实验室大楼中，通过上述方法识别了层数，识别率为100％。实验结果表明：与传统的定位算法相比，改进后的算法在准确性和稳定性上都有一定的提高。

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