基于BLE的室内指纹定位优化技术
Indoor Fingerprint Location Optimization Technology Based on BLE
陶佳峰 1杨晓洪 1王剑平 1张果1
作者信息
- 1. 昆明理工大学信息工程及自动化学院,云南昆明650500
- 折叠
摘要
针对RSSI的室内定位技术的功耗高和精度低的问题,采用蓝牙4.0作为节点,应用具有低功耗、远距离和成本低等优点的BLE技术,通过在离线阶段采用高斯-均值算法对指纹数据库进行优化和在现阶段改进的跳变自适应卡尔曼算法进行数据滤波研究,并且通过蓝牙4.0无线网络系统进行试验.结果表明,优化后的指纹库和自适应卡尔曼定位算法,在复杂的环境中比传统的定位算法更加稳定和准确.
Abstract
Aiming at the problem of high energy consumption and low accuracy of RSSI indoor positioning technology,using Bluetooth 4.0 as a node,BLE technology with advantages of low energy consumption,long distance and low cost was adopted.Data filter was studied through optimizing fingerprint database by using Gauss-mean method and improved hopping adaptive Kalman algorithm,the experiment was carried out in Bluetooth 4.0 wireless network.The results showed that in a complex environment,the optimized fingerprint database and adaptive Kalman location algorithm is more stable and accurate than traditional positioning method.
关键词
蓝牙低功耗技术/高斯-均值滤波/跳变自适应卡尔曼滤波/室内指纹定位Key words
Bluetooth low energy technology/Gauss-mean filter/Hopping adaptive Kalman filter/Indoor fingerprint location引用本文复制引用
基金项目
国家自然科学基金(61364008)
云南省应用基础研究重点项目(2014FA029)
云南省教育厅重点基金(2013Z127)
昆明理工大学复杂工业控制学科方向团队建设计划项目()
出版年
2016
国家科技期刊平台
NSTL
维普
万方数据