中文摘要：

针对矿井下基于RSSI算法的定位系统容易受到其他节点信号干扰,以及在井下测量节点距离时,因受到井下环境影响出现的测距误差,进而影响三边定位算法的精确度和稳定性。论文利用接收到的已知节点角度信息,把在井下定位分割成各个定位小区来过滤其他节点的信号干扰,以解决因信号干扰造成的定位小区混乱。在确定定位小区之后,利用对重叠区域进行标记缩小定位范围,对标记最多次区域采用质心算法,以此来提高定位精确度和稳定性。仿真表明：该方法在井下人员定位过程中精确度高、稳定性强,比传统传统RSSI定位算法在井下更为优越。

英文摘要：

Because the underground positioning system based on the RSSI algorithm is vulnerable to other node signals,and the ranging error was brought by the underground environment when measuring the distance of the underground nodes,consequently the accuracy and stability of trilateral positioning algorithm was influenced. In order to solve the locating cell confusion caused by signal interference,this paper uses the received angle information of the known nodes to divide the underground positioning into locating cells to filter the interference of other nodes. After determining the location cell,the scope of location was narrowed by marking the overlapping areas,and the centroid algorithm of the multiple marked region was used in order to improve the positioning accuracy and stability. Simulation results show that the method of underground personnel positioning processes high accuracy and strong stability and it is superior to the traditional RSSI algorithm.