计算机工程2019，Vol.45Issue(3)：125-131,137,8.DOI:10.19678/j.issn.1000-3428.0049839
基于蓝牙RSSI的贝叶斯区域判别定位算法
Bayesian Region Discriminant Location Algorithm Based on Bluetooth RSSI
摘要
Abstract
The traditional multi-point location method based on Received Signal Strength Indication (RSSI) has low positioning accuracy and poor stability.To solve this problem, a region discriminant location algorithm based on Bluetooth RSSI is proposed.The RSSI vectors of different regions are constructed after the region discriminant model of RSSI signals is established.The weighted value of RSSI intensity ranging is calculated by Bayesian estimation and analysis.The precise region when RSSI signals are received is discriminated and the RSSI vectors of the region are selected for multi-point centroid location.Experimental results show that the accuracy of the proposed algorithm can reach 90.63％, and the average positioning error can be as low as 0.897 m under the condition of linear fitting with 95％ credibility.关键词
接收信号强度指示/线性拟合/区域定位/贝叶斯估计/多点定位Key words
Received Signal Strength Indication (RSSI)/linear fitting/region location/Bayesian estimation/multi-point location分类
信息技术与安全科学引用本文复制引用
彭昊,彭敏,安宁,周清峰..基于蓝牙RSSI的贝叶斯区域判别定位算法[J].计算机工程,2019,45(3):125-131,137,8.基金项目
国家自然科学基金(61601164,61471156) （61601164,61471156）
广东省科技规划项目(2016B010108002) （2016B010108002）
佛山市科技创新项目(2015IT100095). （2015IT100095）
