@inproceedings{f6d60f57c291443f8dd0082aac039906,
title = "Improving target tracking by incorporating shadowing fading",
abstract = "To accurately localize the target, wireless positioning systems use range measurements from different anchors, which are deployed around the monitored region in advance. In most applications where the target such as a human body has a certain volume, the target will shadow the wireless links comprised of the anchors, making the received signal strength (RSS) of these links suffer great loss. Therefore, in this paper, we propose a hybrid approach which integrates shadowing fading and range measurements of the links to enhance the performance of target tracking. Due to the nonlinearity of the shadowing loss model and the range model, particle filtering (PF) maximizing the posterior distribution of the target state is employed to fusion the two kinds of measurements. Moreover, the posterior Cramer-Rao lower bound (PCRLB) is derived to explore the best possible performance of the hybrid approach. Simulation results show that the tracking performance is significantly improved when the shadowing fading is exploited.",
keywords = "PCRLB, particle filtering, range, shadowing fading, tracking",
author = "Zhenghuan Wang and Fei Gao and Heng Liu and Shengxin Xu and Yaping Ni and Jie Yang",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015 ; Conference date: 13-12-2015 Through 16-12-2015",
year = "2016",
month = feb,
day = "23",
doi = "10.1109/GlobalSIP.2015.7418391",
language = "English",
series = "2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1215--1219",
booktitle = "2015 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2015",
address = "United States",
}