提出了一种模糊自适应卡尔曼滤波算法。
An algorithm of adaptive fuzzy Kalman filtering is presented.
同时引入自适应卡尔曼滤波算法对原始定位结果进行了处理。
At the same time the adaptive Kalman filter algorithm is introduced to process the initial locating results.
本文介绍了一种提取脑电信号的自适应卡尔曼滤波算法及其微机处理软件。
This paper introduces an algorithm of adaptive Kalman filter and its microcomputer software for extracting EEG signal.
在自适应卡尔曼滤波算法的基础上提出了一种带模型偏差的GPS伪码跟踪误差估计器。
Based on the adaptive Kalman filtering algorithm, an estimator for the GPS PN code tracking error with model bias is proposed.
主要完成卡尔曼滤波在准连续波雷达数据处理(距离和速度)中算法应用研究，实现一种新型自适应卡尔曼滤波算法。
The applications of the Kalman filtering algorithm in data processing (range and speed) of quasi continuous wave radar are studied. A new adaptive Kalman algorithm is realized.
在机动加速度“当前”统计自适应卡尔曼滤波算法的基础上，引入了基于Q - R矩阵分解的自适应卡尔曼滤波算法。
Based on the algorithm of maneuvering acceleration current statistical model adaptive filtering, the adaptive kalman filtering algorithm based on QR matrix decomposition is presented in this paper.
以平均值平滑滤波法和质心法实现了对信标光斑定位，利用卡尔曼预测算法实现了具有自适应能力的递归跟踪算法。
Using smoothing filter and average-force algorithm to position beacon's facula, then use kalman prediction algorithm with the adaptive capacity to achieve the recursive tracking algorithm.
对各方程序卡尔曼滤波，通过T -SFIMMA算法进行基于T - S模糊模型的自适应卡尔曼滤波计算，实现系统模型的实时跟踪与自动转换。
Kalman filter of the kind of equations was calculated with T-SFIMMA algorithm based on adaptive Kalman filter algorithm of T-S fuzzy model, realize the tracking and automatic switchover of models.
模块的组成、功能，详细说明了姿态角的计算、初始对准以及采用的稳定、实时、变增益自适应扩展卡尔曼滤波估计算法。
Attitude calculation techniques, initial alignment methods and a real-time adaptive extended Kalman filter used for improve the system precision were discussed.
为改善多基地雷达系统对高机动目标的跟踪性能，提出了基于自适应高斯模型和扩展卡尔曼滤波(ekf)的机动目标跟踪算法。
Maneuvering target tracking algorithm based on adaptive Gauss model and EKF was built for improving the tracking performance in Multi-static systems.
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。
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.
针对当前自适应组合导航系统算法的研究趋势，总结了卡尔曼滤波技术的缺陷和利用智能融合技术提高滤波器性能的设计思想。
The adaptive Kalman filtering (AKF) based on intelligent information fusion algorithm has currently became an effective approach to enhance the integrated navigation system's robustness and accuracy.
针对在被动方式下进行水下目标跟踪容易导致滤波发散和收敛精度不高的问题，介绍了一种改进的自适应推广卡尔曼滤波算法。
Concerning the problem of instability and low accuracy of passive filter in underwater target tracking, a modified adaptive extended kalman filter (MAEKF) algorithm is presented.
针对在被动方式下进行水下目标跟踪容易导致滤波发散和收敛精度不高的问题，介绍了一种改进的自适应推广卡尔曼滤波算法。
Concerning the problem of instability and low accuracy of passive filter in underwater target tracking, a modified adaptive extended kalman filter (MAEKF) algorithm is presented.
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