| 200 | 0 | 58 |
| 下载次数 | 被引频次 | 阅读次数 |
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。
Abstract：To address the difficulty of achieving accurate and stable indoor positioning when fixed WiFi devices are absent or scarce, an indoor positioning method based on multi-user WiFi signal strength is proposed.It emits a WiFi hotspot through the device of the user to be located, and the multiple users with known position information connect and continuously monitor the signal strength of the hotspot.Subsequently, the positional relationships between the target user and these known users are deduced with the relationship between distance and signal strength.Finally, the target user's position is determined by analyzing the geometric constraints within these positional relationships.Experiment results demonstrate that the proposed method achieves indoor positioning by utilizing the WiFi signal strength information among multiple users without the need for constructing a large fingerprint database.It provides stable indoor position information in environments without fixed equipment deployment.
[1] HAYWARD S J,VAN L K,HINDE C,et al.A survey of indoor location technologies,techniques and applications in industry[J].Internet of Things,2022,20:100608.
[2] 陈锐志，郭光毅，陈亮，等.室内高精度定位技术研究应用现状与发展趋势[J].武汉大学学报(信息科学版),2023,48(10):1591-1600.CHEN R Z,GUO G Y,CHEN L,et al.Application status,development and future trend of high-precision indoor navigation and tracking[J].Geomatics and Information Science of Wuhan University,2023,48(10):1591-1600.(in Chinese)
[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)