Research on Improving the Elman Neural Network for the INS/GNSS Integrated Velocity and Positioning Algorithm

Author:

Wu Junteng,Yang Jie,Meng Chuanshu,Jiang Jusong,Zhu Yueyun

Publisher

Springer Nature Singapore

Reference13 articles.

1. Cheng, S., Liu, C., Song L.: Combination speed positioning method for maglev trains based on multi-source information fusion. Urban Rapid Rail Transit Res 25(08), 136–140 (2022) (in Chinese)

2. Gu, C., Wang, S., Shen, S.: Theoretical research on combined speed positioning of mag lev trains base-d on GNSS and INS. J Railway Sci Eng 17(11), 2756–2766(2020) (in Chinese)

3. Zhou, X., Zhang, H., He, T.: Research on adaptive Kalman filter algorithm for GPS/INS loosely coupled integrated navigation. J. Time-Frequency Wavelet Anal. 43(03), 222–230 (2020). (in Chinese)

4. Wang, F., Han, B., Hu, L.: Research on GNSS/INS integrated navigation algorithm under complex urban environment. Geomat. Nat. Haz. Risk 42(01), 15–20 (2022). (in Chinese)

5. Li, Q., Zhang, L., Wang, X.: Loosely coupled GNSS/INS integration based on factor graph and aided by ARIMA model. IEEE Sens. J. 21(21), 24379–24387 (2021)

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