TY - GEN
T1 - Self-calibrating filtering algorithm based on unknown input evaluator
AU - Xing, Wen
AU - Yang, Jian
AU - Li, Wang
AU - Mao, Zihe
AU - Yu, Fei
AU - Fan, Shiwei
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The problem of noise anomalies and unknown input interference of in-vehicle combined navigation systems in complex environments. This paper establishes a filtering model containing unknown input disturbances, designs a state self-calibration method without measuring information by combining the characteristics of the error state model, introduces a weighted sliding window to realize the identification and decoupling of the mixed disturbances, and carries out the sequential noise filtering on the obtained unknown input estimation in order to improve the operation stability of the algorithm. The results show that based on the unknown input filtering algorithm, the combined navigation system has enhanced immunity and improved the robustness of the combined SINS/GNSS navigation system.
AB - The problem of noise anomalies and unknown input interference of in-vehicle combined navigation systems in complex environments. This paper establishes a filtering model containing unknown input disturbances, designs a state self-calibration method without measuring information by combining the characteristics of the error state model, introduces a weighted sliding window to realize the identification and decoupling of the mixed disturbances, and carries out the sequential noise filtering on the obtained unknown input estimation in order to improve the operation stability of the algorithm. The results show that based on the unknown input filtering algorithm, the combined navigation system has enhanced immunity and improved the robustness of the combined SINS/GNSS navigation system.
KW - combinatorial navigation
KW - robustness
KW - unknown interference estimation
KW - weighted sliding window
UR - https://www.scopus.com/pages/publications/85186636430
U2 - 10.1109/IFEEA60725.2023.10429606
DO - 10.1109/IFEEA60725.2023.10429606
M3 - 会议稿件
AN - SCOPUS:85186636430
T3 - 2023 10th International Forum on Electrical Engineering and Automation, IFEEA 2023
SP - 1127
EP - 1133
BT - 2023 10th International Forum on Electrical Engineering and Automation, IFEEA 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Forum on Electrical Engineering and Automation, IFEEA 2023
Y2 - 3 November 2023 through 5 November 2023
ER -