基于高斯牛顿迭代估计的无线网络节点定位算法  

Wireless network node localization algorithm based on Gauss-Newton iterative estimation

作　　者：王建强[1] 代阳 WANG Jianqiang;DAI Yang(College of Geomatics, East China University of Technology, Nanchang 330013, China)

机构地区：[1]东华理工大学测绘工程学院,江西南昌330013

出　　处：《测绘工程》2020年第6期8-12,共5页Engineering of Surveying and Mapping

基　　金：国家重点研发计划(2016YFB0501405);国家自然科学基金资助项目(41404026)。

摘　　要：室内外一体化定位导航是物联网、智慧导航的基础。针对Wi-Fi信号强度三边测量算法的局限,文中在改进三边测量算法的基础上,提出一种基于Gauss-Newton迭代估计的无线传感网络节点定位算法。采用高斯滤波算法优化接收信号强度减小测距误差,将传统三边定位的结果作为采样点的初始位置,反复进行Gauss-Newton迭代估计出最优位置。通过室内定位实验结果表明,在小范围内没有障碍物的情况下,Wi-Fi信号的定位中误差在1 m以内,一般情况也能达到1~5 m的定位精度,能有效提高室内定位的准确性。Integrated positioning and navigation for indoor and outdoor is the basis of Internet of Things and smart navigation.Aiming at the limitation of the trilateration algorithm for Wi-Fi signal,a node positioning algorithm in wireless sensor network is proposed based on the improvement of the trilateration algorithm by using Gauss-Newton iterative.The Gaussian filter is used to filter the low frequency data of RSS,making the result of trilateration as the initial position of the sampling point,and then the optimal position is calculated by the Gauss-Newton iterative algorithm.The experiment result shows that the positioning RMSE of Wi-Fi signal is within 1m if it is in a small area where without obstacles.The positioning accuracy can be less than 1~5 m for normal.It can increase the positioning accuracy.

关 键 词：WI-FI 高斯滤波 高斯牛顿迭代 RSSI 三边定位 

分 类 号：P228[天文地球—大地测量学与测量工程]