但AIMM遇到了新问题，包括如何选择自适应模型集的结构，如何从基于旧模型集的滤波器中继承各种数据。
But some new problems appear in the AIMM, such as how to select the structure of the adaptive model set, how to inherit the different data from the filters based on the old model set.
提出了一种利用模糊逻辑控制器来在线调节卡尔曼滤波器的自适应数据融合方法，并着重研究了其在GPS/INS组合导航中的应用。
This paper presents an adaptive data fusion method which uses a fuzzy logic controller to online adjust the Kalman filter, and focuses on its application to the integrated GPS/INS navigation.
同时，通过移动机器人运行过程中激光雷达的测距数据分析，设计了动态自适应滤波器以消除障碍检测中的测距噪声干扰。
At the same time, a dynamic adaptive filter is designed to reduce the noisy disturbance in range measurement of obstacles by analyzing the ranging data of laser scanner in the robot motion.
通过拟合实验数据表明，1：N自适应卡尔曼滤波器与快速傅里叶变换和标准加入法相结合，用于补偿系统的模型误差和进行重叠峰的分辨，效果良好。
The neopoloarographic synthetic data test indicated that 1 :N adaptive Kalman filter can compensate for modelling errors of system and resolve over- lapped response signals.
通过拟合实验数据表明，1：N自适应卡尔曼滤波器与快速傅里叶变换和标准加入法相结合，用于补偿系统的模型误差和进行重叠峰的分辨，效果良好。
The neopoloarographic synthetic data test indicated that 1 :N adaptive Kalman filter can compensate for modelling errors of system and resolve over- lapped response signals.
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