重庆邮电大学学报（自然科学版）2024，Vol.36Issue(2)：328-336,9.DOI:10.3979/j.issn.1673-825X.202301170014
RSSI和PC-CSI加权融合的指纹定位方法
Weighted fusion fingerprint localization based on RSSI and PC-CSI
摘要
Abstract
To meet the demand for indoor positioning,WiFi-based indoor positioning technologies have emerged,mainly including fingerprint positioning technologies based on received signal strength indicator(RSSI)and channel state informa-tion(CSI).The existing RSSI and CSI-based fingerprint localization techniques are susceptible to environmental interfer-ence and have low localization accuracy.In this paper,we propose a weighted fusion fingerprint localization technique based on RSSI fingerprints and phase correct based channel state information(PC-CSI)fingerprints.The PC-CSI fingerprint lo-calization adds phase information to the traditional CSI amplitude-based fingerprint localization to correct the localization re-sults,and then the localization results of RSSI fingerprint and PC-CSI fingerprint are weighted and repositioned.Experimen-tal findings demonstrate a 36.2%reduction in mean position error(MPE)compared to CSI-based active localization meth-ods,showcasing the efficacy of our proposed approach in meeting indoor positioning requirements.关键词
室内定位技术/接收信号强度指示(RSSI)/信道状态信息(CSI)/加权K近邻(WKNN)算法Key words
indoor positioning techniques/received signal strength indicator(RSSI)/channel state information(CSI)/weight-K-nearest neighbor(WKNN)分类
信息技术与安全科学引用本文复制引用
刘方家,廖子俊,张赫航,韩静瑶..RSSI和PC-CSI加权融合的指纹定位方法[J].重庆邮电大学学报（自然科学版）,2024,36(2):328-336,9.基金项目
广东省普通高校特色创新项目(2022WTSCX315) The Characteristic Innovation Project of Colleges and Universities in Guangdong Province(2022WTSCX315) （2022WTSCX315）
