Research on interactive multi-model ICKF doppler-based localization methods

Wantong Chen; Dongxue Yang

doi:10.1117/12.3033148

5 July 2024 Research on interactive multi-model ICKF doppler-based localization methods

Wantong Chen, Dongxue Yang

Proceedings Volume 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024); 131841V (2024) https://doi.org/10.1117/12.3033148
Event: 3rd International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 2024, Kuala Lumpur, Malaysia

Abstract

Aiming at the problem that the use of Iterative Least Squares (ILS) algorithm and Extended Kalman filter (EKF) in the position solution of instantaneous Doppler localization for the localization of non-cooperative low-orbit communication satellites will bring errors in instantaneous Doppler localization, a further optimization method is adopted on the Improved cubature Kalman filter (ICKF) to achieve a higher accuracy of the position solution. The ICKF algorithm based on Interacting Multiple Model (IMM) is designed to model the influence of the ionosphere and other disturbing factors, reduce the influence of the estimation error of the ionosphere, and be able to adaptively estimate the noise; take the static positioning of the star chain satellite constellation for the ground station as an example, and verify the feasibility and validity of the algorithm by simulation through the simulation platform of STK software. The experimental results show that the accuracy of the ICKF algorithm based on Interacting Multiple Model (IMM) is significantly improved in the instantaneous Doppler localization solution compared with ICKF.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Wantong Chen and Dongxue Yang "Research on interactive multi-model ICKF doppler-based localization methods", Proc. SPIE 13184, Third International Conference on Electronic Information Engineering and Data Processing (EIEDP 2024), 131841V (5 July 2024); https://doi.org/10.1117/12.3033148

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