@inproceedings{522459e83f624a26abb1c112d81f4883,
title = "Joint estimation of state and bias based on generalized systematic model",
abstract = "This paper presents a joint estimation of state and bias based on generalized systematic model. Registration process is implemented as follows: first of all, augment method is utilized to derive dynamic equation of the system. Then, structure unknown inputs induced by the dynamic equation of the bias are decoupled. Unbiased estimation of the state and bias is finally obtained by the augment minimum mean squared estimation (AMMSE). The simulation proves that the proposed method is not only effective but also efficient by comparing with other methods, respectively.",
keywords = "AMMSE, Generalized model, Joint estimation, Sensor registration, Systematic bias",
author = "Jie Zhou and Yan Liang and Lin Zhou and Quan Pan",
note = "Publisher Copyright: {\textcopyright} 2015 Technical Committee on Control Theory, Chinese Association of Automation.; 34th Chinese Control Conference, CCC 2015 ; Conference date: 28-07-2015 Through 30-07-2015",
year = "2015",
month = sep,
day = "11",
doi = "10.1109/ChiCC.2015.7260374",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "4750--4755",
editor = "Qianchuan Zhao and Shirong Liu",
booktitle = "Proceedings of the 34th Chinese Control Conference, CCC 2015",
}