摘要
针对基于RSSI的加权质心定位算法会出现三边测量区域选择错误、只是用节点之间的距离信息衡量信标节点的影响力,忽略了各条信号传输路径中误差的标准偏差也不同的问题,提出了一种基于RSSI的偏移误差修正的井下定位算法。该算法结合加权质心定位算法思想,采用RSSI测距模型测量节点之间的距离。在获得节点间的距离信息后,通过对测距误差中随机变量的标准偏差进行概率分布分析来衡量节点间的测距误差,并对随机变量进行偏移误差修正,最终获得较高精度的定位效果。仿真结果表明,与加权质心定位算法相比,该算法的定位精度提高了19%,定位结果的稳定性也有较大程度的改善。
In view of problems that the weighted centroid positioning algorithm based on RSSI would appear error of three-side measuring area selection,only use distances between nodes to measure influence of beacon nodes,but neglect standard deviations of errors in every signal transmission path are different,an underground positioning algorithm of offset error correction based on RSSI was proposed.The algorithm combines with the idea of weighted centroid positioning,and uses RSSI distance model to measure distance between nodes.After obtained the distance information,it can measure the distance error between nodes through probability distribution analysis of standard deviation of the random variables in the ranging error,and then corrects the offset error of the random variables,finally obtains the positioning results with higher precision.The simulation results show that the positioning accuracy improves 19%compared with the weighted centroid positioning algorithm,and the stability of positioning results also has great improvement.
出处
《工矿自动化》
北大核心
2017年第11期63-69,共7页
Journal Of Mine Automation
基金
国家重点研发计划资助项目(2016YFC0801808)
关键词
井下定位
加权质心定位算法
渐变模型
信号强度
标准偏差
误差修正
underground positioning
weighted centroid positioning
Shadowing model
signal strength
standard deviation
error correction
