Electronics Optics & Control, Volume. 32, Issue 8, 65(2025)

Seamless Inertial/Magnetism Navigation System Based on Deep Self-Learning

WANG Chenguang1, ZHAO Tianshang2, and SHEN Chong2
Author Affiliations
  • 1North University of China, School of Information and Communication Engineering, Taiyuan 030000, China
  • 2North University of China, School of Instrument and Electronics, Taiyuan 030000, China
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    References(19)

    [1] [1] GROVES P D. The complexity problem in future multisensor navigation and positioning systems: a modular solution[J]. The Journal of Navigation, 2014, 67(2): 311-326.

    [2] [2] YE F, PAN S G, GAO W, et al. An improved single-epoch GNSS/INS positioning method for urban canyon environment based on real-time DISB estimation[J]. IEEE Access, 2020, 8: 227566-227578.

    [3] [3] YAO Y Q, XU X, ZHANG T. An improved initial alignment method for SINS/GPS integration with vectors subtraction[J]. IEEE Sensors Journal, 2021, 21(16): 18256-18262.

    [4] [4] ZHENG H, WANG H B, WU L, et al. Simulation research on gravity-geomagnetism combined aided underwater navigation[J]. The Journal of Navigation, 2013, 66(1): 83-98.

    [5] [5] KEIGHOBADI J. Fuzzy calibration of a magnetic compass for vehicular applications[J]. Mechanical Systems and Signal Processing, 2011, 25(6): 1973-1987.

    [6] [6] SMITH R, FROST A, PROBERT P. Aspects of heading determination via fusion of inclinometer and magnetometer data[C]//1997 8th International Conference on Advanced Robotics. Monterey: IEEE, 1997: 739-744.

    [7] [7] NAZARAHARI M, ROUHANI H. Sensor fusion algorithms for orientation tracking via magnetic and inertial measurement units: an experimental comparison survey[J]. Information Fusion, 2021, 76:8-23.

    [8] [8] GUO X T, TANG J, LI J. Attitude measurement based on imaging ray tracking model and orthographic projection with iteration algorithm[J]. ISA Transactions, 201, 95: 379-391.

    [9] [9] SMITH G L, SCHMIDT S F, MCGEE L A. Application of statistical filter theory to the optimal estimation of position and velocity on board a circumlunar vehicle[R]. Moffet Field: NASA Ames Research Center, 1962.

    [10] [10] SCHMIDT S F. Application of state-space methods to navigation problems[J]. Advances in control systems, 1966, 3: 293-340.

    [11] [11] GUSTAFSSON F, HENDEBY G. Some relations between extended and unscented Kalman filters[J]. IEEE Transactions on Signal Processing, 2012, 60(2): 545-555.

    [12] [12] ARASARATNAM I, HAYKIN S. Cubature Kalman filters[J]. IEEE Transactions on Automatic Control, 2009, 54(6): 1254-1269.

    [13] [13] AKHLAGHI S, ZHOU N, HUANG Z Y. Adaptive adjustment of noise covariance in Kalman filter for dynamic state estimation[C]//IEEE Power & Energy Society General Meeting. Chicago: IEEE, 2017: 1-5.

    [14] [14] ALMAGBILE A, WANG J L, AL-RAWABDEH A. An integrated adaptive Kalman filter for improving thereliability of navigation systems[J]. Journal of Applied Geodesy, 2023, 17(3): 295-311.

    [15] [15] WANG G C, XU X S, YAO Y Q, et al. A novel BPNN-based method to overcome the GPS outages for INS/GPS system[J]. IEEE Access, 2019, 7: 82134-82143.

    [16] [16] SHEN C, ZHANG Y, GUO X T, et al. Seamless GPS/inertial navigation system based on self-learning square-root cubature Kalman filter[J]. IEEE Transactions on Industrial Electronics, 2020, 68(1): 499-508.

    [17] [17] YU B, SHU W J, CAO C. A novel modeling method for aircraft engine using nonlinear autoregressive exogenous (NARX) models based on wavelet neural networks[J]. International Journal of Turbo and Jet Engines, 2018, 35(2): 161-169.

    [18] [18] SABATELLI S, GALGANI M, FANUCCI L, et al. A double-stage Kalman filter for orientation tracking with an integrated processor in 9-D IMU[J]. IEEE Transactions on Instrumentation and Measurement, 2012, 62(3): 590-598.

    [19] [19] KELLEY J, HAGAN M T. Comparison of neural network NARX and NARMAX models for multi-step prediction using simulated and experimental data[J]. Expert Systems with Applications, 2024, 237: 121437.

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    WANG Chenguang, ZHAO Tianshang, SHEN Chong. Seamless Inertial/Magnetism Navigation System Based on Deep Self-Learning[J]. Electronics Optics & Control, 2025, 32(8): 65

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    Paper Information

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    Received: Apr. 22, 2024

    Accepted: Sep. 5, 2025

    Published Online: Sep. 5, 2025

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2025.08.011

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