@inproceedings{f778b1aff1834a46ab0ecdcb74dbf69e,
title = "A MLE based algorithm for registration in sensor networks",
abstract = "Sensor bias may severely affect the use of measurements acquired in sensor networks. A registration algorithm based on maximum likelihood estimate (MLE) for estimating the bias is presented in this paper. Firstly, the impact of residual bias on target state estimate was analyzed. Then the likelihood function with respect to residual sensor bias was derived, and an iterated algorithm was presented to obtain MLEs of bias. The presented algorithm is a batch algorithm. Simulations are performed to demonstrate the effectiveness of the presented algorithms.",
keywords = "Iterated algorithm, Maximum likelihood, Registration, Sensor networks, Taylor expansion",
author = "Zixiang Wei and Jun Wang and Shaoming Wei and Zhaotao Qin and Hong Xiang",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 3rd IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019 ; Conference date: 15-03-2019 Through 17-03-2019",
year = "2019",
month = mar,
doi = "10.1109/ITNEC.2019.8729352",
language = "英语",
series = "Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "928--932",
editor = "Bing Xu",
booktitle = "Proceedings of 2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2019",
address = "美国",
}