基于RSSI的井下人员定位算法改进  

Improvement of Underground Personnel Location Algorithm Based on RSSI

作　　者：倪云峰[1] 王志刚 王静[1] 郭苹 NI Yunfeng;WANG Zhigang;WANG Jing;GUO Ping(School of Communication and Information Engineering,Xi'an University of Science and Technology,Xi'an 710699,China)

机构地区：[1]西安科技大学通信与信息工程学院,陕西西安710699

出　　处：《无线电工程》2023年第3期663-668,共6页Radio Engineering

基　　金：国家自然科学基金(61701393);陕西省教育厅科学研究计划项目(19JK0528,19JK0531)。

摘　　要：在无线传感器网络中,针对接收信号强度指示(Received Signal Strength Indication,RSSI)在煤矿井下长距离巷道内信号衰减快、测距精度偏差大等问题,提出了一种基于RSSI的高斯滤波加权质心定位算法。采用高斯滤波对采集的RSSI值进行修正,一定程度上减轻环境造成的影响。将RSSI测距算法与改进加权质心算法相结合,得出待测节点坐标位置。仿真试验表明,该改进算法与原有定位算法相比,定位误差明显降低,可基本满足煤矿井下人员的安全生产和定位需求。In wireless sensor networks,a Gaussian filtered weighted centroid localization algorithm based on Received Signal Strength Indication(RSSI)is proposed in order to solve the problems of fast signal attenuation and large deviation of distance measurement accuracy in long-distance tunnels in underground coal mines.First,the Gaussian filter is used to correct the collected RSSI value to reduce the impact of environment to a certain extent.Then the RSSI ranging algorithm is combined with the improved weighted centroid localization algorithm to obtain the coordinate position of the node to be measured.Compared with the original positioning algorithm,the simulation test shows that the improved algorithm has significantly reduced positioning error,which can basically meet the safety production and positioning requirements of underground personnel in coal mines.

关 键 词：加权质心定位 无线传感器网络 定位精度 高斯理论模型 接收信号强度指示 

分 类 号：TN393[电子电信—物理电子学]