卡尔曼滤波在非线性动力学和测量导航数据处理中的应用

2020 27th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS) Pub Date : 2020-05-01 DOI:10.23919/icins43215.2020.9133846

V. A. Tupysev, Y. Litvinenko, A. Isaev

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引用次数: 2

摘要

本文讨论了用一种特殊的有限差分方程选择线性化点来提高卡尔曼滤波器处理动力学方程和测量方程非线性的效率的可能性。导航数据处理问题的仿真结果表明了该方法的有效性

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Application of Kalman Type Filtering for Processing Navigation Data With Nonlinear Dynamics and Measurements

The paper discusses the possibility of increasing the efficiency of the Kalman type filters for nonlinearities in the dynamics and measurement equations by using a special finite-difference equation to choose the linearization point. The simulation results of navigation data processing problem illustrate the effectiveness of the proposed approach

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2020 27th Saint Petersburg International Conference on Integrated Navigation Systems (ICINS)

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