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A Research of fuzzy Kalman Filter Algorithm Based on GPS/DR Integrated Navigation System

机译:基于GPS / DR集成导航系统的模糊卡尔曼滤波器算法研究

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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:本文根据车辆集成导航系统的工作环境和应用要求,它需要GPS / DR车辆集成导航系统作为应用对象,它组合模糊理论和卡尔曼滤波算法;然后开发了模糊卡尔曼滤波器。它表明,通过仿真实验,该算法可以抑制滤波发散因素并有效地提高抗干扰能力,鲁棒性。该滤波器算法可以调整噪声环境的变化。

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