计算机工程2019，Vol.45Issue(2)：18-25,8.DOI:10.19678/j.issn.1000-3428.0050455
基于CSI相位差值矫正的室内定位算法
Indoor Location Algorithm Based on CSI Phase Difference Correction
摘要
Abstract
Aiming at the problems of phase error offset, high fingerprint noise and low accuracy of sample classification in most of the existing indoor passive fingerprint location methods based on Channel State Information (CSI) in complex scenes, an indoor fingerprint location algorithm based on Phase Difference (PD) value correction is proposed. In the offline period, the phase error and offset in the communication link are corrected by calculating the phase difference, and a robust fingerprint database is established. The BP neural network is used to train the fingerprint feature data to obtain the mapping relationship between fingerprint feature information and physical location. Online phase, this algorithm sets the phase difference filtering of CSI real time sampling value as the model, carries out positioning computing and finally gets the accurate location result. Experimental results show that compared with the existing fingerprint-based location method, this method has the advantages of significant denoising effect and high positioning accuracy.关键词
信道状态信息/室内定位/相位差值/指纹数据库/BP神经网络Key words
Channel State Information (CSI)/indoor location/Phase Difference (PD)/fingerprint database/BP neural netw ork分类
信息技术与安全科学引用本文复制引用
党小超,任家驹,郝占军..基于CSI相位差值矫正的室内定位算法[J].计算机工程,2019,45(2):18-25,8.基金项目
国家自然科学基金 (61762079, 61662070) （61762079, 61662070）
甘肃省科技重点研发项目 (1604FKCA097, 17YF1GA015) （1604FKCA097, 17YF1GA015）
甘肃省科技创新项目 (17CX2JA037, 17CX2JA039). （17CX2JA037, 17CX2JA039）
