改进加权距离定位算法在室内定位中的应用  

A distance weighted localization algorithm used in indoor positioning

作　　者：方爽[1,2] 郭杭[1] 刘津 李英成 

机构地区：[1]南昌大学,南昌330031 [2]中测新图(北京)遥感技术有限责任公司,北京100039

出　　处：《测绘科学》2015年第8期125-128,共4页Science of Surveying and Mapping

基　　金：国家自然科学基金项目(41164001;41374039);国家科技支撑计划项目(2012BAK15B03)

摘　　要：基于RSSI(Received Signal Strength Indication)的距离测量技术是一种新型低成本的距离测量技术,并且在距离定位的领域中得到广泛的运用。针对常规的Zigbee指纹定位的加权最邻近定位算法较为复杂且精度低下的问题,该文对基于RSSI的Zigbee指纹数据库定位算法中加权最邻近算法进行了研究,提出了利用一种新的加权距离定位算法,并且使用Zigbee无线网络系统进行实验。结果表明,使用加权定位算法后,与常规的3种定位算法相比,Zigbee定位系统的定位偏差得到一定程度的提高且优于1.57m。The distance measurement technology based on RSSI （Received Signal Strength Indication）is a new and low-cost technology and widely used in the field of distance positioning. A new distance-weight localization al- gorithm was proposed after the study of weighted nearest neighbor algorithm in the algorithm of Zigbee fingerprint database localization based RSSI, and the test was taken in Zigbee wireless network system. The result showed that the positional deviation of Zigbee positioning system could be less than 1.57m by this new distance-weight localization algorithm with a certain degree of improvement compared with other three general positioning algorithms.

关 键 词：RSSI ZIGBEE 加权最邻近算法 加权距离定位算法 

分 类 号：P228[天文地球—大地测量学与测量工程]