TY - GEN
T1 - An Online Calibration Method of INS and Doppler Sensors
AU - Liu, Jingyang
AU - Wang, Bo
AU - Deng, Zhihong
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/3/13
Y1 - 2019/3/13
N2 - For the integrated navigation system of Inertial Navigation System (INS) /Doppler Velocity Log (DVL), the accuracy of velocity measurement from DVL is a key factor that restrain the accuracy of combined INS/DVL navigation system. Based on the viewpoint of observability, we analyze the reason why partial misalignment angles cannot be calibrated under some trajectories, and designs an improved calibration scheme according to the above analysis, which can realize the calibration of all the misalignment angles and scale factor. Nevertheless, the calibration method presented above is extremely unfavorable for underwater vehicles to keep concealment. Therefore, a more accurate model of DVL errors is employed, including scale factor, misalignment angles and constant errors, and a three-point online calibration method of INS and Doppler Sensors is proposed. The proposed method only requires the Autonomous Underwater Vehicles (AUVs) to float up twice to get the GPS signals. That is, only with the initial position and the other two positions, the calibration can be accomplished. The simulation results show that the presented method is efficient and the positioning accuracy of AUVs is evidently improved.
AB - For the integrated navigation system of Inertial Navigation System (INS) /Doppler Velocity Log (DVL), the accuracy of velocity measurement from DVL is a key factor that restrain the accuracy of combined INS/DVL navigation system. Based on the viewpoint of observability, we analyze the reason why partial misalignment angles cannot be calibrated under some trajectories, and designs an improved calibration scheme according to the above analysis, which can realize the calibration of all the misalignment angles and scale factor. Nevertheless, the calibration method presented above is extremely unfavorable for underwater vehicles to keep concealment. Therefore, a more accurate model of DVL errors is employed, including scale factor, misalignment angles and constant errors, and a three-point online calibration method of INS and Doppler Sensors is proposed. The proposed method only requires the Autonomous Underwater Vehicles (AUVs) to float up twice to get the GPS signals. That is, only with the initial position and the other two positions, the calibration can be accomplished. The simulation results show that the presented method is efficient and the positioning accuracy of AUVs is evidently improved.
KW - AUVs
KW - DVL errors
KW - calibration
KW - integrated navigation
UR - http://www.scopus.com/inward/record.url?scp=85064109115&partnerID=8YFLogxK
U2 - 10.1109/IBCAST.2019.8667235
DO - 10.1109/IBCAST.2019.8667235
M3 - Conference contribution
AN - SCOPUS:85064109115
T3 - Proceedings of 2019 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019
SP - 824
EP - 829
BT - Proceedings of 2019 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th International Bhurban Conference on Applied Sciences and Technology, IBCAST 2019
Y2 - 8 January 2019 through 12 January 2019
ER -