摘要
为了减小RSSI波动和多径干扰对定位精度和稳定性的影响,提出了一种基于位置连续性的室内指纹定位改进算法.依据用户位置具有连续性的特点,应用室内布局结构来缩减指纹搜索空间,去除位置歧义点,在此基础上,采用基于改进的贝叶斯方法进一步提高定位计算的精度和稳定性.分析与实验表明,该算法能有效降低RSSI波动对定位的影响,提高精度,同时也降低了实时定位的计算开销.
An improved indoor localization algorithm is presented based on position continuity, which is to diminish the influence caused by RSSI fluctuation and multipath interference. According to the position continuity, the RSSI fingerprint search space is narrowed by combining with the interior structure of the building. On this basis, the localization accuracy and stability are improved based on Bayesian estimation. Analysis and experiments show that the proposed algorithm not only effectively diminish the RSSI fluctuation influence on localization and improve accuracy, but also reduce the computing cost of real-time locating.
出处
《福建师范大学学报（自然科学版）》
CAS
CSCD
北大核心
2015年第3期17-25,共9页
Journal of Fujian Normal University：Natural Science Edition
基金
国家自然科学基金资助项目(61202452
U1405255)
福建省教育厅产学研项目(JA12063)
福建省工业科技重点项目(2014H0018)
关键词
室内定位
RSSI指纹
室内结构布局
位置连续性
indoor localization
RSSI fingerprinting
interior structure
position continuity
