The linear kalman filtering algorithm is extended under the mix coordinate of radar;
推广了线性卡尔曼滤波算法，导出雷达混合坐标系下的扩展卡尔曼滤波算法；
A fast Kalman filtering algorithm of netted radar system is presented for tracking a maneuvering target.
提出了一种快速卡尔曼滤波跟踪算法，用于组网雷达系统对机动目标的跟踪分析。
The quantized time delay method is adopted for comparison of short time intervals, and a Kalman filtering algorithm …
该系统采用了量化时延原理进行短时间间隔比对，对测量数据进行卡尔曼滤波处理。
Based on the adaptive Kalman filtering algorithm, an estimator for the GPS PN code tracking error with model bias is proposed.
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。
At last the normal Kalman filtering algorithm model was given and the deducing process of this algorithm was described in detail.
最后，给出了标准的卡尔曼滤波算法模型并详细描述了算法的推导过程。
To investigate the problem of tracking a high accelerating maneuvering target with netted radar system, the parallel extended Kalman filtering algorithm is derived.
针对多基地雷达系统跟踪近距离高加速机动目标的场合，提出了一种并行扩展卡尔曼滤波算法。
This paper presents an extended kalman filtering algorithm for tracking infrared target, using the outputs from a forward-looking infrared (FLIR) sensor as measuring value.
本文提出了一种直接把红外前视传感器的输出作为测量值来跟踪红外目标的扩展型卡尔曼滤波跟踪算法。
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.
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。
Computer simulations are done based on certain earth synchronous communications satellite, and an improved extended Kalman filtering algorithm is adopted in course of filtering.
在滤波计算过程中，采用了改进的广义卡尔曼滤波算法，以某地球同步轨道通信卫星为背景，进行了计算机仿真研究。
Finally, the computational procedures and simulation analysis of extended Kalman filtering algorithm, unscented Kalman filtering algorithm and particle filtering algorithm is presented.
最后，给出了扩展卡尔曼滤波算法、无迹卡尔曼滤波算法和粒子滤波算法的推导过程和仿真分析。
The simulation results show that the adaptive Kalman filtering algorithm can track the maneuvering target, and it is characterized by high accuracy, good stability and quick convergence.
仿真结果表明，该算法可以较好地跟踪机动目标，具有精度高、稳定好、收敛快等特点。
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.
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。
First, the fuzzy space of input variables is partitioned by means of on-line fuzzy competitive learning. Further, the parameters of fuzzy model are estimated by means of Kalman filtering algorithm.
首先，利用在线模糊竞争学习方法划分输入变量的模糊输入空间，然后利用卡尔曼滤波算法估计模糊模型的参数。
Satisfactory results were achieved by using the extended Kalman filtering iterative algorithm for on-line state estimation.
用推广卡尔曼滤波迭代算法进行状态实时估计取得令人满意的结果。
A simulation model of the method is set up using filtering algorithm of extend Kalman, and the system simulation is made using simulative data at the basic of a synchronization satellite of the earth.
结合推广的卡尔曼滤波算法，建立了该方法的仿真模型，以某地球同步卫星为背景，利用模拟数据进行了系统仿真。
An algorithm of adaptive fuzzy Kalman filtering is presented.
提出了一种模糊自适应卡尔曼滤波算法。
A time domain recursive low pass filtering algorithm based on Kalman filtering theory is analyzed.
分析了一种基于卡尔曼滤波理论的时域递归低通滤波算法。
So it can be concluded that in nonlinear systems distributed fusion algorithm based on converted measurement Kalman filtering can basically reconstruct centralized fusion algorithm.
因此，在非线性系统中，基于转换测量值卡尔曼滤波算法的分布融合算法可以重构集中式融合算法。
So it is concluded that in nonlinear systems distributed fusion algorithm based on converted measurement Kalman filtering can basically reconstruct a centralized fusion algorithm.
因此，在非线性系统中，基于转换测量值卡尔曼滤波算法的分布融合算法可以重构集中式融合算法。
An extended Kalman filtering (EKF) algorithm is designed for radiolocation in cellular communication system, simulation is conducted to examine its performance.
设计了一种蜂窝系统无线定位中使用的扩展卡尔曼滤波(ekf)算法，对其性能进行了仿真。
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。
A new fading filtering algorithm is developed based on the property of Kalman filter that the sequence of residuals is uncorrelated when the optimal gain is used.
本文依据卡尔曼滤波器在使用最佳增益时，其余差序列互不相关的性质，开发了一种新的渐消滤波算法。
Considering the radiation problem of filtering resulting from the inaccurate model of the Kalman filter, data fusion algorithm based on the fuzzy Kalman filter is advanced.
并针对卡尔曼滤波因模型不准确而导致的滤波发散问题，提出了模糊卡尔曼的数据融合算法。
In this paper, making use of Kalman filtering, we derive a new back-propagation algorithm whose learning rate is computed by Riccati difference equation.
本文运用卡尔曼滤波原理，提出了一种新的神经网络学习算法。该算法的学习速度是由带时间参数的里卡蒂微分方程来确定的。
The research results of dynamic state estimation algorithm were introduced, which were EKF method, UKF method, predictive Kalman filtering and nonlinear predictive Kalman filtering.
简要分析了几种常见的动态估计方法，它们是EKF方法、UKF方法、预测卡尔曼滤波；
The dissertation researches on the PMSM vector control system using Extended Kalman Filtering (EKF) algorithm.
本文是对永磁同步电机的扩展卡尔曼无位置算法（EKF）的矢量控制系统的研究。
The dissertation researches on the PMSM vector control system using Extended Kalman Filtering (EKF) algorithm.
本文是对永磁同步电机的扩展卡尔曼无位置算法（EKF）的矢量控制系统的研究。
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