一种基于幅频矢量感知的井下定位算法

A Coal Mine Localization Algorithm Based on the Amplitude Vector Perception

现有的矿山人员定位系统定位精度低,不能满足煤矿安全生产和灾后救援系统的需要。提出了一种矿用精密定位算法。在该算法中,移动节点接收巷道空间的电磁波,在分析所接收电磁波的基础上,进行信息融合并构造幅频特性矢量,经马尔科夫滤波与模式匹配,将幅频特性矢量映射到巷道的电子地图,进而得到移动节点的精确位置信息。实验表明,该算法定位误差小于2m,计算复杂度较低,易于工程实现,能够满足煤矿安全生产的需要。

As the low precision of the existing localization system can＇t meet the needs of the safety and the disaster relief system,a new localization algorithm is proposed in this paper. Ac rithm,the information was fused and the amplitude vector was built based on the analysis o mine production ng to such algo-electromagnetic wave in the roadway which the mobile node received. After Marov filtering and pattern matching, the vector was mapped to the roadway electronic map, and the precise location of the mobile node could be obtained. Fxperiments show that the localization algorithm, whose error is less than 2 m,can meet the safety needs of the coal mine produc- tion because of its low computational complexity and easy project realization.