• Infrared and Laser Engineering
  • Vol. 52, Issue 6, 20230142 (2023)
Yingwei Zhao1,2, Xiangyuan Li1,2, Jiaxing Zheng1,2,*, and Wenfeng Tan1,2
Author Affiliations
  • 1College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha 410073, China
  • 2Nanhu Laser Laboratory, National University of Defense Technology, Changsha 410073, China
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    DOI: 10.3788/IRLA20230142 Cite this Article
    Yingwei Zhao, Xiangyuan Li, Jiaxing Zheng, Wenfeng Tan. Calibration of RLG-INS/EML integrated navigation system considering current velocity[J]. Infrared and Laser Engineering, 2023, 52(6): 20230142 Copy Citation Text show less
    Relationship between b-frame and d-frame
    Fig. 1. Relationship between b-frame and d-frame
    Trajectory of calibration experiment in simulation
    Fig. 2. Trajectory of calibration experiment in simulation
    Current velocity estimation after first filtering
    Fig. 3. Current velocity estimation after first filtering
    Installation error estimation after first filtering
    Fig. 4. Installation error estimation after first filtering
    Scale factor estimation after first filtering
    Fig. 5. Scale factor estimation after first filtering
    Current velocity residual after third filtering
    Fig. 6. Current velocity residual after third filtering
    Installation error residual after third filtering
    Fig. 7. Installation error residual after third filtering
    Scale factor residual after third filtering
    Fig. 8. Scale factor residual after third filtering
    Trajectory of calibration experiment with EML
    Fig. 9. Trajectory of calibration experiment with EML
    Current velocity residual in the marine experiment with EML
    Fig. 10. Current velocity residual in the marine experiment with EML
    Installation error residual in the marine experiment with EML
    Fig. 11. Installation error residual in the marine experiment with EML
    Scale factor residual in the marine experiment with EML
    Fig. 12. Scale factor residual in the marine experiment with EML
    Position error comparison between with and without calibration in the marine experiment
    Fig. 13. Position error comparison between with and without calibration in the marine experiment
    Accuracy
    Gyroscope/(°)·h-10.003
    Accelerometer/mGal50
    GNSS position/m3
    GNSS velocity/m·s−10.03
    Table 1. Specification of experimental devices
    ErrorNoise
    Scale factor error0.030.01
    Installation error/(°)10.01
    Current velocity/m·s−10.50.01
    Table 2. Initial calibration parameter
    Accuracy
    Gyroscope/°/h0.01
    Accelerometer/mGal100
    GNSS position/m3
    GNSS velocity/m·s−10.03
    EML/D0.03
    Table 3. Specification of experimental devices with EML
    Accuracy
    Scale factor−0.058 8
    Installation error/(°)[−1.445 8, 0, 1.880 6]
    Current velocity/m·s−1[1.092 0, 0.362 5]
    Table 4. Calibration result
    Yingwei Zhao, Xiangyuan Li, Jiaxing Zheng, Wenfeng Tan. Calibration of RLG-INS/EML integrated navigation system considering current velocity[J]. Infrared and Laser Engineering, 2023, 52(6): 20230142
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