基于Taylor展开的UWB井下定位算法研究与实现

发布时间：2018-06-08 01:08

本文选题：Taylor级数展开 + 阈值筛选　；参考：《计算机工程与应用》2017年02期

【摘要】：针对无线信号在煤矿巷道中传播时由于多径效应明显,而导致定位精度不高的问题,通过对UWB定位模型进行分析,提出一种基于Taylor级数展开的UWB(Ultra Wide-Band)定位算法。考虑Taylor级数迭代算法对初始值依赖性很高的问题,首先采用三点直接定位算法对目标节点进行粗定位,然后通过阈值筛选和权重计算产生Taylor定位的初始值,再进行迭代求解,进行第二次精确定位。一个基于UWB无线定位系统平台对该算法进行了验证,结果表明该算法可以保证最大定位误差为0.4 m,基本满足井下定位的需要。
[Abstract]:Aiming at the problem that the wireless signal propagates in the coal mine roadway due to the obvious multipath effect, the positioning accuracy is not high. Through the analysis of the UWB location model, a UWBU Ultra Wide-Band-based location algorithm based on Taylor series expansion is proposed. Considering the high dependence of Taylor series iteration algorithm on initial value, firstly, three point direct localization algorithm is used to locate the target node rough, then the initial value of Taylor location is generated by threshold screening and weight calculation, and then the iterative solution is carried out. Carry out a second accurate positioning. The algorithm is verified based on a UWB wireless positioning system platform. The results show that the algorithm can guarantee the maximum positioning error of 0.4 m and basically meet the need of downhole positioning.
【作者单位】：中南大学物理与电子学院;
【基金】：中南大学中央高校基本科研业务费专项资金资助(No.2014zzts147)
【分类号】：TN925

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