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A research of fuzzy Kalman filter algorithm based on GPS/DR integrated navigation system

机译:GPS / DR组合导航系统的模糊卡尔曼滤波算法研究

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摘要

In this paper, according to working environment and application requirements of vehicle integrated navigation system, it takes GPS/DR vehicle integrated navigation system as the application object, it combined fuzzy theory and Kalman filter algorithm; and then a fuzzy Kalman filter was developed. It shows that by simulation experiments, this algorithm can suppress filter divergent-factors and improve anti-interference ability, and robustness effectively. This filter algorithm can adapt the change of noise environments.
机译:本文根据车辆组合导航系统的工作环境和应用需求,以GPS / DR车辆组合导航系统为应用对象,将模糊理论与卡尔曼滤波算法相结合。然后开发了模糊卡尔曼滤波器。通过仿真实验表明,该算法可以抑制滤波器的发散因子,有效提高抗干扰能力和鲁棒性。该滤波器算法可以适应噪声环境的变化。

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