摘要
针对基于RSSI和CSI的指纹定位技术易受环境干扰、定位精度较低的问题,提出了一种基于RSSI指纹和相位修正信道状态信息(phase correct based channel state information,PC-CSI)指纹的加权融合指纹定位技术。基于PC-CSI的指纹定位在传统基于CSI幅值的指纹定位基础上增加相位信息对定位结果进行修正,之后对RSSI指纹和PC-CSI指纹的定位结果加权重定位。实验结果表明,提出的加权融合指纹定位算法与基于CSI的主动定位算法相比,平均定位误差(mean position error,MPE)降低了36.2%,能满足室内定位需求。
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 information(CSI).The existing RSSI and CSI-based fingerprint localization techniques are susceptible to environmental interference 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 localization adds phase information to the traditional CSI amplitude-based fingerprint localization to correct the localization results,and then the localization results of RSSI fingerprint and PC-CSI fingerprint are weighted and repositioned.Experimental findings demonstrate a 36.2%reduction in mean position error(MPE)compared to CSI-based active localization methods,showcasing the efficacy of our proposed approach in meeting indoor positioning requirements.
作者
刘方家
廖子俊
张赫航
韩静瑶
LIU Fangjia;LIAO Zijun;ZHANG Hehang;HAN Jingyao(School of Mechanical Engineering,University of Science and Technology Beijing,Beijing 100083,P.R.China;Shunde Innovation School,University of Science and Technology Beijing,Foshan 528300,P.R.China;School of Electronic Information and Communication,Huazhong University of Science and Technology,Wuhan 430074,P.R.China;School of Computer&Communication Engineering,University of Science and Technology Beijing,Beijing 100083,P.R.China)
出处
《重庆邮电大学学报（自然科学版）》
CSCD
北大核心
2024年第2期328-336,共9页
Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)
基金
广东省普通高校特色创新项目(2022WTSCX315)。
