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An Improved Filtering Algorithm for Filtering Divergence in Integrated Navigation
Yuhao LI, Yu CHEN, Yuhang LIU
Modern Defense Technology    2024, 52 (4): 58-64.   DOI: 10.3969/j.issn.1009-086x.2024.04.006
Abstract5296)   HTML324)    PDF (891KB)(466)       Save

In order to solve the problems of Kalman filter dispersion and inability to accurately track the error changes in the vehicle combination navigation system, an improved adaptive filtering algorithm is designed. By analyzing the judging condition of filter divergence in principle, combining Sage-Husa filtering with multiple fading filtering algorithm, the fading factor is introduced in the filtering process. The filtering state and updating strategy are switched by the divergence condition, so that the state of filter returns to normal in time when divergence occurs. The improved algorithm is subjected to Jetlink inertial guidance/odometer combination navigation simulation tests and track of vehicle experiment. Simulation and experimental results are presented that the divergence of filter can be suppressed, and in the meanwhile, the adaptability and stability of the filter are enhanced to a certain extent.

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Approach Orbit Design Method for Space Multi-target Glide Observation
Yuhao LIU, Bing ZHANG, Zijin FANG
Modern Defense Technology    2024, 52 (1): 57-64.   DOI: 10.3969/j.issn.1009-086x.2024.01.008
Abstract260)   HTML4)    PDF (909KB)(320)       Save

Aiming at the problems of low observation efficiency and insufficient fuel in current space-based space observation tasks, this paper proposes a close orbit design method for space multi-target skimming observation based on particle swarm optimization algorithm and space multi-target observation model to achieve the close range skimming observation of specific multi-target under the condition of constant orbit. The space multi-target observation model is established by combining the distance calculation of two orbiting satellites with the conditions of sky light and earth shadow. The particle swarm optimization algorithm is used to optimize the number of six orbits of the observer to obtain the optimal orbit for the comprehensive closest distance observation of a specific multi-target. The periodic difference generated by the orbital height difference is used to offset the phase difference between the target and the position at the intersection in a way that consumes time to get the most fuel-efficient way, and the formula for the most fuel saving is obtained at the cost of time. Finally, the numerical method is used to illustrate the effectiveness of the orbit design method.

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