计算机工程Issue(2)：193-198,6.DOI:10.3969/j.issn.1000-3428.2014.02.042
基于 Zigbee 室内定位系统的指纹库优化算法
Fingerprint Database Optimization Algorithm Based on Zigbee Indoor Positioning System
摘要
Abstract
Received Signal Strength Indication(RSSI) of the Zigbee Wireless Sensor Network(WSN) can be used for providing location service. Using RSSI establishing fingerprint database to design positioning algorithm can get good positioning result. But fingerprint database collection and establishment accuracy directly affect the positioning accuracy. The general method to establish the fingerprint database has larger error, and after researching for the process of Zigbee network fingerprint database collection and establishment, the fingerprint database collection, establishment and optimization method is proposed. In the positioning area, all the collected fingerprint database source data from every sampling point are filtered, and high precision fingerprint database is established. Using the defined region adjacent algorithm, defined region weighted adjacent algorithm and defined region Bayesian algorithm are proposed for this positioning system calculates user’s location, respectively. Experimental result shows that the average error using the optimized fingerprint database is limited within 1.5 m in short range positioning system.关键词
无线传感器网络/Zigbee 网络/接收信号强度指示(RSSI)/指纹数据库/定位/滤波/有效数据域Key words
Wireless Sensor Network(WSN)/Zigbee network/Received Signal Strength Indication(RSSI)/fingerprint database/positioning/filtering/effective data domain分类
信息技术与安全科学引用本文复制引用
刘小康,郭杭..基于 Zigbee 室内定位系统的指纹库优化算法[J].计算机工程,2014,(2):193-198,6.基金项目
国家自然科学基金资助项目(41164001)；科技部国际科技合作基金资助项目(2010DFA70990) （41164001）
