This paper develops a new complex-valued multichannel fast Kalman algorithm for these cases.
本文导出了一种适用于这种情况的复值多路快速卡尔曼算法。
In the cases where the fast convergence and tracking behaviors are required, the LMS algorithm and the conventional fast Kalman algorithm are not suitable.
在要求快速收敛和跟踪的场合下，lms算法及常规的快速卡尔曼算法均不适用。
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。
The classical data fusion algorithm-Kalman algorithm needs a tight choice of the parameters, any improper choice may result in great error and lead to bad effect of the algorithm.
传统的数据融合算法-卡尔曼滤波算法，在参数选择上要求较高，选择不当即导致较大误差，影响算法效果。
Based on beam control technology of one-dimension phased-array fuze, the paper deduced the optimal burst Angle and burst delay algorithm and researched an improved Kalman algorithm.
基于一维相控阵引信的波束控制技术，推导了最佳起爆角和起爆延时算法，并研究了一种改进卡尔曼滤波方法在此算法中的应用。
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 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。
The whole algorithm conformation is very skilled. Because the number of kalman filter is lesser, algorithm is real-time, and robust.
算法构造巧妙，由于使用了较少的卡尔曼滤波器，算法实时性好，鲁棒性更好。
The initial angular positions of the joints are estimated by the extended Kalman filter algorithm, then the manipulator's absolute locating accuracy in its workspace is guaranteed indirectly.
利用扩展卡尔曼滤波算法估计机械手各关节的初始角位置，从而间接地保证机械手在工作空间内的绝对定位精度。
This paper introduces an algorithm of adaptive Kalman filter and its microcomputer software for extracting EEG signal.
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。
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。
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 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。
Adaptive Kalman filter algorithm study (1) Based on the study of the passive target tracking in modified polar coordinates, the nonlinear dynamic model is devised.
自适应滤波算法(1)研究了极坐标系下的水下目标被动跟踪问题，建立了被动跟踪的动力学模型。
At the same time, we use Kalman filter error equations in errors analysis for autonomous navigation algorithm, and compare the analysis results of the two methods.
同时利用卡尔曼滤波误差方程对自主导航算法进行误差分析，并将两种分析结果作比较。
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。
With the algorithm of extend Kalman filter, the target motion analysis is discussed.
运用扩展卡尔曼滤波算法，研究了该系统的目标运动分析问题。
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。
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。
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。
The paper presents a Kalman filter algorithm in the polar coordinates, describes the deduction process, the calculational formulas and target speed calculation method in air to ship attacking.
介绍了一个极坐标下卡尔曼滤波算法，给出了模型的推导过程及卡尔曼滤波的标量计算式，并给出了空舰攻击中目标速度的计算方法。
The state equation and detecting equation of the position error of moving target are built, the location and track to moving target is achieved by least-square estimation and Kalman filter algorithm.
列出了对位置偏差估计的状态方程和测量方程，用加权的最小二乘估计和卡尔曼滤波算法，实现了定位和跟踪。
Unscented Kalman Filter (UKF), which is an evolutional algorithm of Extended Kalman Filter (EKF), has been successfully applied in many nonlinear estimation problems.
无轨迹卡尔曼滤波器(ukf)作为扩展卡尔曼滤波器(ekf)的进化算法在许多非线性估计问题上取得了成功的应用。
This system takes the Kalman filter as core algorithm to fuse data so that the positioning accuracy and system reliability can be improved.
采用了卡尔曼滤波为核心算法的数据融合，来提高组合导航系统的定位精度和可靠性。
In this paper, a new Kalman filter algorithm that can be used in the Car-cuts speed control system in railway is pre - sented.
本文提出了用于铁路驼峰自动化的一种新的卡尔曼滤波算法。
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。
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。
The kalman filter algorithm under hybrid coordinate and unscented transformation (UT) algorithm are investigated.
研究了混合坐标系下的卡尔曼滤波算法和采样变换(UT)算法。
The kalman filter algorithm under hybrid coordinate and unscented transformation (UT) algorithm are investigated.
研究了混合坐标系下的卡尔曼滤波算法和采样变换(UT)算法。
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