一种改进的煤矿井下人员定位算法

An improved coal mine personnel positioning algorithm

针对井下环境定位精度较低和易受干扰问题,提出一种改进的基于煤矿井下超宽带技术的人员定位算法。传统超宽带定位中使用到达时间测距算法时,非视距传播过程会导致测距误差大、鲁棒性差,通过扩展卡尔曼滤波算法,提高定位系统的精度。实验结果表明,扩展卡尔曼滤波方法可以有效地提高超宽带定位系统在视距和非视距条件下的定位精度,减少系统偶然误差,满足煤矿人员定位要求。

Aiming at the problems of low positioning accuracy and vulnerability to interference in underground environment,an improved personnel positioning algorithm based on ultra-wideband technology in coal mine is proposed.When the arrival time ranging algorithm is used in traditional ultra-wideband positioning,the non-line-of-sight propagation process will lead to large ranging error and poor robustness.The accuracy of the positioning system is improved by the extended Kalman filter algorithm.The experimental results show that the extended Kalman filter method can effectively improve the positioning accuracy of ultra-wideband positioning system in line-of-sight and non-line-of-sight conditions,reduce the accidental error of the system and meet the positioning requirements of coal mine personnel.