@inproceedings{d15d4b883ba54f889537194190e2c889,
title = "GNSS/INS integrated navigation system based on adaptive robust kalman filter restraining outliers",
abstract = "Under the complex condition, the abnormal vibration of code tracking loop and carrier tracking loop which cause outliers will affect the position accuracy of the GNSS/INS integrated navigation system. To solve this problem, this paper puts forward a new adaptive robust Kalman filter restraining outliers. This algorithm can eliminate the outliers caused by the abnormal vibration of code tracking loop and carrier tracking. The experiment confirms that the algorithm can improve the position accuracy and robustness of the GNSS/INS integrated navigation system. The algorithm has lower complexity compared to the traditional robust Kalman filter restraining outliers.",
keywords = "Adaptive, GNSS/INS, Restrain Outliers, Robust Kalman Filter",
author = "Wei He and Baowang Lian and Chengkai Tang",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; IEEE/CIC International Conference on Communications in China - Workshops, CIC/ICCC 2014 ; Conference date: 13-10-2014",
year = "2015",
month = may,
day = "13",
doi = "10.1109/ICCChinaW.2014.7107862",
language = "英语",
series = "2014 IEEE/CIC International Conference on Communications in China - Workshops, CIC/ICCC 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "32--35",
booktitle = "2014 IEEE/CIC International Conference on Communications in China - Workshops, CIC/ICCC 2014",
}