@inproceedings{482e2dd463aa427e9c116a51a8d98822,
title = "Research of polarization sensor and MEMS integrated navigation system technology",
abstract = "MEMS have been the hotspot in inertial measurements applications recently, due to their advantages of low-cost, high reliability, micro size, etc. But MEMS cannot be used in initial alignment alone because of its drift and noise. Since polarization navigation sensor's errors are not divergent, it can restrain divergence if polarization navigation sensor and MEMS become integrated navigation system. This paper verifies that the data of polarization navigation sensor are not divergent, and use the yaw angle provided by polarization navigation sensor to accomplish initial alignment. The results also show that polarization navigation sensor can restrain drift generated by MEMS. Finally, the drift of velocity can be effectively suppressed through the compensation of kalman filter.",
keywords = "IIR Low-pass Filter, Initial Alignment, Kalman Filter, MEMS, Polarization Navigation",
author = "Kai Liu and Leilei Li and Jiabin Chen and Huiya Liu",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 6th IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014 ; Conference date: 08-08-2014 Through 10-08-2014",
year = "2015",
month = jan,
day = "12",
doi = "10.1109/CGNCC.2014.7007328",
language = "English",
series = "2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "895--899",
booktitle = "2014 IEEE Chinese Guidance, Navigation and Control Conference, CGNCC 2014",
address = "United States",
}