2024 06 v.29 20-26
基于多用户WiFi信号强度的室内定位方法
基金项目(Foundation):
国家重点研发计划项目(2022YFC3800600);
广东省基础与应用基础研究基金项目(2023A1515110662);
广东省自然科学基金项目(2023A1515010717)
邮箱(Email):
DOI:
10.13682/j.issn.2095-6533.2024.06.003
中文作者单位:
人工智能与数字经济广东省实验室(深圳);
摘要(Abstract):
针对室内固定WiFi设备缺失或较少的情形下，难以获取准确稳定的室内位置信息的问题，提出一种基于多用户WiFi信号强度的室内定位方法。该方法通过待定位用户的设备发射一个WiFi热点，多个已知位置信息的用户连接并持续监测该热点的信号强度。再利用距离与信号强度之间的关系，推断待定位用户与多个已知用户之间的位置关系。最后，通过分析位置关系中的几何约束确定目标用户的位置信息。实验结果表明，所提方法无需构建庞大的指纹数据库，可以通过利用多用户之间的WiFi信号强度信息实现室内定位，能够在无固定设备部署的室内环境中获取稳定的室内位置信息。
关键词(KeyWords):
WiFi信号强度;多用户;室内定位;智能手机;信号传播模型
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[3] ROY P,CHOWDHURY C.A survey on ubiquitous WiFi-based indoor localization system for smartphone users from implementation perspectives[J].CCF Transactions on Pervasive Computing and Interaction,2022,4(3):298-318.
[4] 柳景斌，赵智博，胡宁松，等.室内高精度定位技术总结与展望[J].武汉大学学报(信息科学版),2022,47(7):997-1008.LIU J B,ZHAO Z B,HU N S,et al.Summary and prospect ofindoor high-precision positioning technology[J].Geomatics and Information Science of Wuhan University,2022,47(7):997-1008.(in Chinese)
[5] 林瑾，刘辉，陈华.基于WIFI信号的手势识别控制系统[J].电子设计工程，2023,31(3):90-95.LIN J,LIU H,CHEN H.Gesture recognition control system based on WIFI signal[J].Electronic Design Engineering,2023,31(3):90-95.(in Chinese)
[6] YU Y,CHEN R,CHEN L,et al.Precise 3-D indoor localization based on WiFi FTM and built-in sensors[J].IEEE Internet of Things Journal,2020,7(12):11753-11765.
[7] 张伟，连国云，花向红，等.WiFi指纹室内定位的信号滤波算法研究[J].测绘科学，2021,46(12):61-66.ZHANG W,LIANG G Y,HUA X H,et al.Research on signal filtering algorithms of WiFi fingerprinting indoor positioning[J].Science of Surveying and Mapping,2021,46(12):61-66.(in Chinese)
[8] TIGLAO N M,ALIPIO M,CRUZ R D,et al.Smartphone-based indoor localization techniques:State-of-the-art and classification[J].Measurement,2021,179(109349):1-12.
[9] NGAMAKEUR K,YONGCHAREON S,YU J,et al.A survey on device-free indoor localization and tracking in the multi-resident environment[J].ACM Computing Surveys (CSUR),2020,53(4):1-29.
[10] YEN H C,YANG L Y O,TSAI Z M.3-D indoor localization and identification through RSSI-based angle of arrival estimation with real Wi-Fi signals[J].IEEE Transactions on Microwave Theory and Techniques,2022,70(10):4511-4527.
[11] LI X,DENG Z,YANG F,et al.WiFi indoor location method based on RSSI[C]//2021 11th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems:Technology and Applications(IDAACS).Cracow:IEEE,2021:1036-1040.
[12] KAWECKI R,HAUSMAN S,KORBEL P.Performance of fingerprinting-based indoor positioning with measured and simulated RSSI reference maps[J].Remote Sensing,2022,14(9):1992.
[13] DING X,DONG S.Improving positioning algorithm based on RSSI[J].Wireless Personal Communications,2020,110:1947-1961.
[14] DUBEY A,SOOD P,SANTOS J,et al.An enhanced approach to imaging the indoor environment using WiFi RSSI measurements[J].IEEE Transactions on Vehicular Technology,2021,70(9):8415-8430.
[15] BENSALEH M S,SAIDA R,KACEM Y H,et al.Wireless sensor network design methodologies:A survey[J].Journal of Sensors,2020,2020(1):9592836.
[16] DAI Y,WANG Y,LENG M,et al.LOWESS smoothing and random forest based GRU model:A short-term photovoltaic power generation forecasting method[J].Energy,2022,256:124661.
基本信息:
DOI：10.13682/j.issn.2095-6533.2024.06.003
中图分类号:TN92
引用信息:
[1]郭胜,李游.基于多用户WiFi信号强度的室内定位方法[J].西安邮电大学学报,2024,29(06):20-26.DOI:10.13682/j.issn.2095-6533.2024.06.003.
基金信息:
国家重点研发计划项目(2022YFC3800600); 广东省基础与应用基础研究基金项目(2023A1515110662); 广东省自然科学基金项目(2023A1515010717)