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.
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。
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.
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。
After compensating actual measured data, the result shows that adaptive filter can suppress the IFOG drift when IFOG output model is unknown.
对实测数据补偿的结果证明，在不知道IFOG输出模型的情况下，自适应滤波可以对漂移起到较好的补偿效果。
This paper proposes an improved adaptive Kalman filter based on researching on these filter theories and using DSP and FPGA implement a radar data processing system.
本文的工作是在研究几种滤波算法的基础上提出了一种改进的自适应卡尔曼滤波，并采用DSP和FPGA等器件实现了某雷达信号处理机的数据处理部分。
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。
An adaptive line enhancer based on the above notch filter extracts the fundamental frequency signal from noisy data.
采用自适应谱线增强器从含有噪声的数据中提取出基频信号。
Using Adaptive Kalman filter to filter data obtained by GPS sub-system.
对GPS子系统则采用普通的自适应卡尔曼滤波对其进行滤波处理。
Adaptive Kalman filter may provide a new approach to determine the concentrations from overlapped spectral data without any prilim…
自适应卡尔曼滤波法为不经分离直接测定相互干扰的多组分体系分析提供了一种新的途径。
Adaptive Kalman filter may provide a new approach to determine the concentrations from overlapped spectral data without any prilim…
自适应卡尔曼滤波法为不经分离直接测定相互干扰的多组分体系分析提供了一种新的途径。
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