基于RSSI测距的井下人员区域定位算法

在煤矿井下人员定位系统中,常用的是基于无线传感器网络的定位方法,其中最适合实际应用的是基于接收信号强度指示(RSSI)的定位方法.为了进一步提高定位精度,针对煤矿井下特殊的巷道结构和复杂的电波传播环境,首先提出信标节点均匀间隔交叉分布模型.然后根据已知信标节点精确位置求得定位区域内RSSI测距误差的权值,通过引入比例调整因子、距离修正因子和差分平均因子,对目标节点的测距误差进行修正,获得区域内信标节点与目标节点之间较精确的距离量,最后利用加权质心定位算法对目标节点进行定位.仿真结果表明,该算法能够有效的提高目标节点的定位精度,尤其在沿巷道走向的水平方向上比其竖直方向的精度更高,该方法更适合煤矿井下特定的线型结构环境.

Area Localization Algorithm Based on RSSI in Underground Coal Mine

It is commonly used that the localization method of wireless sensor network in underground coal mine,and the RSSI-based is more suitable.In order to improve further localization accuracy,aiming at the special tunnel structure and severe environment in underground coal mine,uniform interval cross arrangement was proposed firstly between beacon nodes;Then the RSSI measurement error weight is calculated according to the accurate position between beacon nodes,which is used to revised the target nodes in order to get the more accurate distance between beacon nodes and target nodes,weighted centroid localization algorithm is used finally,many simulation results show that this algorithm has the advantage in localization precision,especially in the horizontal direction,more precisely,than in the vertical direction.So it is more suitable for this particular linear structure in underground coal mine.