@inproceedings{efb489c855e04261a38a959e12a9de93,
title = "The research on the signal reconstruction of the angular rate sensor",
abstract = "In order to improve the fault tolerance ability of the critical sensor system and avoid the extra cost, weight and maintenance introduced by hardware redundancy, the signal reconstruction method was designed for the pitch angular rate sensor. The signal reconstruction was implemented by the Kalman filter with the adaptive current statistical model. The modified model can approximate the angular motion of the aircraft accurately and increase the precision of the analytic signal. The design scheme was verified by simulation under diverse flight conditions and compared with the typical methods. The simulation results demonstrate the effectiveness and superiority of the proposed method.",
keywords = "Analytic signal, Current statistical model, Fault-tolerance design, Pitch angular rate sensor, Signal reconstruction",
author = "Yuan, \{L. Y.\} and Zhang, \{W. G.\} and Liu, \{X. X.\}",
note = "Publisher Copyright: {\textcopyright} 2015 Taylor \& Francis Group, London.; International Conference on Mechatronics Engineering and Electrical Engineering, CMEEE 2014 ; Conference date: 17-10-2014 Through 19-10-2014",
year = "2015",
doi = "10.1201/b18421-48",
language = "英语",
isbn = "9781138027190",
series = "Mechatronics Engineering and Electrical Engineering - Proceedings of the 2014 International Conference on Mechatronics Engineering and Electrical Engineering, CMEEE 2014",
publisher = "CRC Press/Balkema",
pages = "221--224",
editor = "Ai Sheng",
booktitle = "Mechatronics Engineering and Electrical Engineering - Proceedings of the 2014 International Conference on Mechatronics Engineering and Electrical Engineering, CMEEE 2014",
}