智能城市2025，Vol.11Issue(5)：1-4,4.DOI:10.19301/j.cnki.zncs.2025.05.001
考虑室内建筑环境与人员运动特征的定位修正算法
Positioning correction algorithm considering indoor building environment and human movement characteristics
朱俊松1
作者信息
- 1. 天津师范大学地理学部,天津 300387
- 折叠
摘要
Abstract
In view of the low positioning accuracy in indoor Wi-Fi positioning due to multipath effect,equipment instability,and data missing in complex building environments,this study proposes an improved received signal strength indicator(RSSI)trajectory correction algorithm.RSSI fuses indoor building environment and human spatiotemporal movement characteristics.It corrects the signal value based on the attenuation effect of obstacles such as walls and floors on RSSI signals.And it generates trajectories through traditional positioning methods and optimizes abnormal trajectory points according to human movement laws.The results showed that the RSSI algorithm significantly improved positioning accuracy,with an average positioning accuracy of 2.01 m,which is a 36.4%improvement over traditional algorithms,providing effective support for indoor safety management and precise positioning.关键词
接收信号强度指示(RSSI)定位/信号衰减/室内建筑环境/人员运动特征/轨迹修正Key words
received signal strength indicator(RSSI)localization/signal attenuation/indoor building environment/human movement characteristics/trajectory correction分类
计算机与自动化引用本文复制引用
朱俊松..考虑室内建筑环境与人员运动特征的定位修正算法[J].智能城市,2025,11(5):1-4,4.
