中文摘要：

实现矿井机车的定位，对矿井机车进行科学调度和实时控制，对于提高矿井生产效率、增强矿井安全生产水平具有重要意义。将基于WLAN的无线定位技术应用于矿井下，针对无线信号受到干扰而出现错误数据的情况，结合矿井巷道的一维线状特性和矿井WLAN部署方案，对传统的指纹识别定位算法进行改进，提出一种带有错误检测的矿井机车无线定位方法，使用AP信号强度的正确指数对采集到的信号强度进行正确性判定，从而提高定位精度。提m的算法相对于传统的指纹识别定位算法，仿真表明，平均定位精度提高了33％，实验表明，平均定位精度提高了32％。

英文摘要：

Positioning the mine locomotives and achieving their scientific dispatching and real-time control are of great significance to improve the mine production efficiency and enhance the mine safety level. In this paper, WLAN- based wireless positioning technology is applied to the mine. Aiming at the fact that wireless signal is interfered, which causes error data, considering one-dimensional linear feature of mine laneway and WLAN deployment scheme, traditional fingerprint positioning method is improved and a wireless positioning method for mine locomotives with er- ror detection is proposed. The correct index of the AP signal strength is used to judge the correctness of the collected signal strength, which improves the positioning accuracy. Compared with traditional fingerprint positioning method, the simulation and experiment results show that the positioning method proposed in this paper improves the average posi- tioning accuracies by 33% and 32% ,respectively.