An Accurate Particle Filter Device Free Localization based on Frequency Hopping Method
Device free localization (DFL) is an emerging technique, which could estimate the location of a target by analysing its shadowing effect on surrounding wireless links. This technique neither requires the target to be equipped with any device nor involves privacy concerns, which makes it an attractive and a promising technique for many indoor localization applications. However, state of the art device free localization algorithm relying on particle filter method does not efficiently consider the multipath interference, which results in low localization accuracy. In this paper, we propose a particle filter method based on frequency hopping to improve the accuracy of DFL. Specifically, we utilize redundancy of different frequency measurement information of each communication link to improve the localization accuracy. Extensive experiments performed in a indoor environment with multipath interference with 24 wireless nodes demonstrate that the particle filter DFL based on frequency hopping could achieve 0. 267m accuracy with a 38.1% improvement, which outperforms sate of the art fixed frequency method.
2020 IEEE International Conference on Mechatronics and Automation (ICMA)