基于RSSI的偏移误差修正的井下定位算法

发布时间：2018-03-11 08:52

本文选题：井下定位　切入点：加权质心定位算法　出处：《工矿自动化》2017年11期 　论文类型：期刊论文

【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。
[Abstract]:For the weighted centroid location algorithm based on RSSI, there will be three side measurement area selection errors, but the influence of beacon nodes can be measured by the distance information between nodes, while the standard deviation of the errors in each signal transmission path is also different. A downhole location algorithm with offset error correction based on RSSI is proposed. The algorithm combines the idea of weighted centroid localization and uses the RSSI ranging model to measure the distance between nodes. By analyzing the probability distribution of the standard deviation of random variables in ranging error, the ranging error between nodes is measured, and the deviation error of random variable is corrected to obtain a high accuracy localization effect. The simulation results show that, Compared with the weighted centroid localization algorithm, the accuracy of the algorithm is improved by 19%, and the stability of the localization result is improved to a great extent.
【作者单位】：中国矿业大学信息与控制工程学院;
【基金】：国家重点研发计划资助项目(2016YFC0801808)
【分类号】：TD67;TN929.5;TP212.9

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