@inproceedings{1256ce2aa11247b9bca47aaaad9a6924,
title = "WLAN indoor tracking method via improved particle filter algorithm",
abstract = "WLAN Indoor tracking system is presented based on the comparison between the off-line pre-stored Radio-map and new recorded signal strength in the on-line phase to estimate user's motion trajectory. Furthermore, the improved particle filter tracking algorithm that consists of the particles-reference points (P-RPs) transferring for getting the likelihood function and velocity estimation from the ANN positioning results is also discussed in this paper. And also, the experiment shows that this improved particle filter tracking algorithm achieves great accuracy performance in tracking trajectory aspect without any velocity-measurement hardware. Finally, the feasibility and effectiveness of this improved WLAN indoor particle filter tracking algorithm are verified without velocity-measurement hardware.",
keywords = "P-RPs, Particle filter, Tracking, Velocity estimation, WLAN",
author = "Yubin Xu and Jingyu Liu and Lin Ma and Lang Peng",
year = "2010",
doi = "10.1109/PCSPA.2010.265",
language = "英语",
isbn = "9780769541808",
series = "Proceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010",
pages = "1078--1082",
booktitle = "Proceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010",
note = "1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010 ; Conference date: 17-09-2010 Through 19-09-2010",
}