通信与信息技术Issue(2)：57-60,4.
基于迁移学习的WiFi RSSI与地磁融合室内指纹定位方法
Indoor fingerprint positioning method based on transfer learning with the fusion of WiFi RSSI and geomagnetic
鹿海州 1罗业超 1邵尉 1晋军 1刘杨 1冯梦婷 1邹航1
作者信息
摘要
Abstract
To improve WiFi-based indoor positioning accuracy,an indoor fingerprint positioning method based on transfer learning that integrates WiFi received signal strength indication(RSSI)and geomagnetism is proposed.A position fingerprint with temporal and spatial traits is constructed,and a two-level stepwise positioning is adopted to gradually enhance accuracy.Firstly,the position finger-print data is transformed into grayscale images,and then the convolutional neural network(CNN)is used for extracting spatial features for coarse positioning.Finally,transfer learning is applied to further enhance accuracy by transferring the processed data to the long short-term memory network(LSTM)for extracting temporal characteristics.The results show that including both temporal and spatial character-istics in the position fingerprint leads to a 12.9%reduction in mean absolute error(MAE)compared to including only spatial characteris-tics.Transfer learning also results in a 5.9%reduction in MAE,and integrating geomagnetic data decreases MAE more than 30%com-pared to using only WiFi RSSI for positioning.关键词
指纹定位/迁移学习/WiFi RSSI/地磁/融合Key words
Fingerprint positioning/Transfer learning/WiFi RSSI/Geomagnetic/Fusion分类
信息技术与安全科学引用本文复制引用
鹿海州,罗业超,邵尉,晋军,刘杨,冯梦婷,邹航..基于迁移学习的WiFi RSSI与地磁融合室内指纹定位方法[J].通信与信息技术,2025,(2):57-60,4.
