@inproceedings{9a95d1081f3f4d5fa8ffc2fea32f46f7,
title = "A grouping protocol for improving localization bias-correction",
abstract = "In the previous work we proposed a method to correct the bias in localization algorithms in n dimensional space with an arbitrary number of sensors at known locations. The key mathematical tools used in the bias-correction method are Taylor series and Jacobian matrices. In this paper an enhancement protocol based on a grouping idea is proposed. The proposed protocol can be used when extra sensors are introduced in order to improve the localization accuracy while avoid significantly increasing the computational cost. Monte Carlo simulation results demonstrate the performance of the proposed grouping protocol.",
author = "Yu Zhang and Yiming Ji and Peng Wang",
year = "2012",
language = "English",
isbn = "9781922107633",
series = "2012 2nd Australian Control Conference, AUCC 2012",
publisher = "IEEE Computer Society",
pages = "330--336",
booktitle = "2012 2nd Australian Control Conference, AUCC 2012",
address = "United States",
note = "2nd Australian Control Conference, AUCC 2012 ; Conference date: 15-11-2012 Through 16-11-2012",
}