一种改进的煤矿井下的无线定位算法

A improved wireless positioning algorithm in the coal mine

人员定位系统在煤矿安全监控中起着举足轻重的地位。基于WIFI的无线定位具有成本低、部署简单的优点一直是很多研究者的研究热点,由于煤矿井下巷道内的煤尘、空气潮湿、遮挡等因素使得WIFI信号易产生多径效应,造成通常的定位算法的坐标估计误差较大。然而煤矿井下人员定位都没有有效的处理多径效应的影响。本文研究了利用相邻时间补偿法来减少由于多径效应造成的定位误差,仿真实验表明本文提出的算法有效的解决了多径效应的影响,提高了基于WIFI定位算法的精度。

The Personal Location System(PLS) is one of most important security monitoring in the coal mine.WIFI-based positioning algorithm is researched all the time by a lot of researchers because it has advantages of decreasing cost and simplicity,but coal dust,humidity and shadowing existing in coal mine cause severe multipath of WIFI signal,so some traditional positioning algorithms have larger coordinates estimated error for the above factors.A large amount of PLSs have not haven't processed the multipath effectively.In this article,the compensation algorithm based on adjacent time is used to decrease estimated error for severe multipath.Experimental results show that the key question was solved effectively by proposed algorithm in this article,and improved localization accuracy of based on WIFI positioning algorithm.