基于RF梯级分域的室内定位仿真  

A RF-based indoor positionmethod in cascade multi-zone

作　　者：吴霁桂 陈向前[1] 

机构地区：[1]清华大学土木工程系,北京100084

出　　处：《计算机仿真》2017年第2期385-388,392,共5页Computer Simulation

摘　　要：室内定位有助于减少多层建筑火灾中人员伤亡,定位技术的准确与高效是研究所关注的重点问题。传统RF定位算法多偏重于数学思想在数据处理上的应用,计算量大,求解速度可待提高。针对多层建筑室内定位的实时性与精度要求,提出了一种RF梯级分域的室内定位方法。离线阶段,将定位区域分为若干空间连续的子域,并对各子域中参考点进行梯级分类。实时定位,通过RSSI均值向量快速定位目标点所在子域,利用子域分支路径迅速收敛到目标点所在极小分域,并以极小分域中参考点坐标进行加权实现定位。仿真结果显示,与基本RF最邻近点定位算法相比,精度提高14%,时间复杂度比值0.03。算法在较小的时间复杂度下能够实现较高的定位精度。Indoor positioning helps reduce the multi - story building fire casualties. Accuracy and efficiency of positioning technology are key issues. To achieve indoor positioning with high accuracy and real - time, we proposes a RF - based indoor positioning method in cascade multi - zone. In offline phase, on the basis of indoor partition wall blocking situation,location area can be divided into several spatial continuous sub- domains, and every sub -domain can be set into cascade division. In the real - time location, the target sub - domain can be quickly found by the mean vectors while the minimal domain in target sub - domain can be converged to through the computation between target point and cascade points, and the target point coordinate can be obtained by weighting the coordinates of the reference points in minimal domain. The simulation shows that compared with the basic RF adjacent point positioning algorithm,accuracy is improved by 14% and the ratio of the time complexity is 0. 03. The presented position method helps improve position accuracy and consumes less time.

关 键 词：接收信号强度指纹 梯级分域 室内定位 时间复杂度 定位精度 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术] TB24[自动化与计算机技术—计算机科学与技术]