Device-free multi-target localization method using phase-shift-based compressive sensing

doi:10.7523/j.ucas.2022.066

Abstract

Abstract: Device-free localization(DFL),as a new localization technology,is a hotspot in passive sensing such as security monitoring,intrusion detection and contact tracking.It locates the target by analyzing the shadow effect of passive target on wireless link.Phase is an important characteristic of wireless signal,which is more fine-grained than signal strength.To improve the localization performance,we use phase information of wireless links and propose a device-free multi-target localization method using phase shift based compressive sensing.In this method, the phase shift of received signal is taken as the observation data, and the sparse vector of target position is recovered by variational Bayesian inference.Simulation results show that in the monitoring area of 6.5 m×6.5 m,the average localization error of RSS method is 0.579 0 m, while the average localization error of this method is 0.254 7 m,the localization accuracy is improved by more than one times,and it can achieve robust DFL.

Key words: device-free localization, compressive sensing, phase shift, variational Bayesian inference

CLC Number:

TN911.7

SHENG Jinfeng, LI Ning, GUO Yan, CHEN Cheng, LI Huajing. Device-free multi-target localization method using phase-shift-based compressive sensing[J]. Journal of University of Chinese Academy of Sciences, 2024, 41(2): 241-248.

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