基于小波分析除噪的全质心UWB室内定位研究

发布时间：2018-03-18 06:38

本文选题：超宽带　切入点：到达时间　出处：《计算机仿真》2014年02期 　论文类型：期刊论文

【摘要】：为了解决室内环境下的非视距(non-line-of-sight,NLOS)及多径(Multipath)传播问题给定位精度带来较大误差的问题,为提高定位精度首先将通过超宽带(ultra wideband,UWB)室内定位系统中的TOA模型测得的目标节点(携带定位终端的人或物体)分别到三个锚节点(下位机)的距离值进行小波分析除噪,再运用三角形全质心定位算法对目标节点进行最终定位(求出目标节点在二维坐标系中的坐标值)。仿真结果表明,改进算法明显提高了定位精度,并且比传统的粒子滤波法,贝叶斯滤波法,泰勒级数法等提高定位精度的算法更加简洁,免去了测试大量数据的过程,从而具有较强的实时性,避免了泰勒级数法因定位结果的初值选取不当而不收敛的鲁棒性较弱的弊端,证明提出的优化TOA测距方案具有更高的可行性。
[Abstract]:In order to solve the problem of non-line-of-sight NLOSs and multipath propagation in indoor environment, the problem of large error in location accuracy is brought about. In order to improve the positioning accuracy, the target nodes (the person or object carrying the positioning terminal) measured by the TOA model in the ultra-wideband and UWB indoor positioning system are respectively analyzed and denoised by wavelet analysis to the distance values of the three anchor nodes (the lower machine) respectively in order to improve the positioning accuracy. Finally, the triangle centroid localization algorithm is used to locate the target node. The simulation results show that the improved algorithm can improve the positioning accuracy and is more accurate than the traditional particle filter method. Bayesian filtering method, Taylor series method and other algorithms to improve the positioning accuracy are more concise, avoid the process of testing a large number of data, and thus have a strong real-time, The disadvantage of the Taylor series method that the initial value of the location result is not properly selected is avoided and the robustness of the method is not convergent. It is proved that the proposed optimal TOA ranging scheme is more feasible.
【作者单位】：新疆大学信息科学与工程学院;
【分类号】：TN926.21

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