基于无线传感器网络的室内精确定位算法  

Indoor accurate localization algorithm based on wireless sensor networks

作　　者：孙妍[1] 陶正苏[1] 陈德富[1] 

机构地区：[1]上海交通大学仪器科学与工程系,上海200240

出　　处：《传感器与微系统》2009年第5期99-102,共4页Transducer and Microsystem Technologies

基　　金：国家科技部科技支撑计划资助项目(2006BAK03A17)

摘　　要：提出了一种基于无线传感器网络的用于室内的高精度定位算法。采用最小二乘法对测量地区的环境参数进行拟合,获得适用的损耗模型。并根据室内的实际情况提出了筛选可靠节点和使用高斯模型处理数据的方法,从而挑选出更为合适的接收信号强度指示器(RSSI)值进行定位计算。最后,对计算结果进行优化,进一步提高定位精度。实验表明:和现有的改进Euc lidean算法相比,该算法定位精度高,且设备要求低,对于室内定位具有一定实用价值。An indoor localization algorithm based on wireless sensor＇ networks is brought up to fulfill the requirement of accuracy. It is the premises of all to obtain environmental parameters with least square method and choose appropriate leakage model. A brand new method is designed for indoor environment, which is filtering the reliable nodes and dealing with the received signal strength indicator（RSSI） with Gauss model. The accuracy will be further improved after optimization. Experiment data show that this algorithm boasted itself with high accuracy and simple hardware requirements, compared with the result of improved Euclidean algorithm. It is practical to utilize indoors.

关 键 词：接收信号强度指示器 最小二乘法 高斯模型 可靠节点 优化 

分 类 号：TP301.6[自动化与计算机技术—计算机系统结构]