摘要
Positioning technology based on wireless network signals in indoor environments has developed rapidly in recent years as the demand for locationbased services continues to increase.Channel state information(CSI)can be used as location feature information in fingerprint-based positioning systems because it can reflect the characteristics of the signal on multiple subcarriers.However,the random noise contained in the raw CSI information increases the likelihood of confusion when matching fingerprint data.In this paper,the Dynamic Fusion Feature(DFF)is proposed as a new fingerprint formation method to remove the noise and improve the feature resolution of the system,which combines the pre-processed amplitude and phase data.Then,the improved edit distance on real sequence(IEDR)is used as a similarity metric for fingerprint matching.Based on the above studies,we propose a new indoor fingerprint positioning method,named DFF-EDR,for improving positioning performance.During the experimental stage,data were collected and analyzed in two typical indoor environments.The results show that the proposed localization method in this paper effectively improves the feature resolution of the system in terms of both fingerprint features and similarity measures,has good anti-noise capability,and effectively reduces the localization errors.
基金
This work was financially supported by the National Key Research&Development Program of China under Grant No.2020YFC1511702
the Beijing Municipal Natural Science Foundation under Grant No.L191003.
作者简介
corresponding author:Ke Han Ph.D.,born in 1980.He is currently an associate professor at Beijing University of Posts and Telecommunications,master tutor.He mainly engaged in integrated circuit design and testing,advanced integrated circuit manufacturing technology,indoor and outdoor seamless positioning technology,navigation and positioning chip design and other directions.Email:hanke@bupt.edu.cn;Yunfei Xu B.S.,born in 1997.He received a bachelor’s degree in electronic information engineering from Changchun University of Science and Technology in 2018.Currently,he is pursuing a master’s degree in the Wireless Network Positioning and Communication Fusion Research Center of Beijing University of Posts and Telecommunications.His main research direction is communication network-based indoor positioning technology;Zhongliang Deng Ph.D.,born in 1965.Now he is a professor at theWireless Network Positioning and Communication Fusion Research Center of the School of Electronic Engineering,Beijing University of Posts and Telecommunications.He received the M.S.from Beijing University of Aeronautics and Astronautics in 1991 and his Ph.D.from Tsinghua University in 1994.His main research areas are satellite positioning,indoor positioning and micro-nano systems;Jiawei Fu B.S.,born in 1996.He received a bachelor’s degree in communication engineering from Hangzhou Dianzi University in 2018.Currently,he is pursuing the master’s degree in the Wireless Network Positioning and Communication Fusion Research Center of Beijing University of Posts and Telecommunications.His main research interest includes 5G mobile communication network positioning technology.
