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。
At present, there are many algorithms to achieve position tracking, such as the Kalman filter algorithm, extended Kalman filter algorithm, particle filter algorithm and so on.
目前，实现定位跟踪的算法有很多，如卡尔曼滤波算法、扩展卡尔曼滤波算法、粒子滤波算法等。
By combining the motion state equation with the Kalman filter algorithm, a mathematic calculation method for accurate prediction of the polished rod speed of the pumping unit is worked out.
把抽油机运动状态方程和卡尔曼滤波算法相结合，构造了一套适用的精确预测抽油机悬点速度的数学算法。
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。
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 order to effectively solve the problem that the loss of object information under occlusion causes the failure of tracking, moving objects tracking algorithm is presented based on Kalman filter.
为了有效解决运动目标遮挡时目标信息容易丢失从而导致跟踪失败的问题，提出一种基于卡尔曼滤波器的运动目标跟踪算法。
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。
To improve the performance of object tracking, a particle filter algorithm was proposed which(uses) state partition technique and parallel extended kalman filter to construct proposal distribution.
为了进一步提高目标跟踪的性能，采用一种新的建议分布构造方法，即利用状态分割技术和平行扩展卡尔曼滤波技术构造建议分布。
In order to improve the positioning performance of the Beidou satellite, an algorithm of data fusion between Beidou satellite and on-board sensors in vehicle is proposed based on Kalman filter.
为了改善北斗卫星定位性能，基于卡尔曼滤波设计了北斗卫星与车载传感器的数据融合算法。
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。
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。
The state estimations algorithm for Target tracking have been studied and compared such as Kalman filter, Extented Kalman filter and Unscented Kalman filter.
对经典的卡尔曼滤波以及针对非线性系统的扩展卡尔曼滤波，不敏卡尔曼滤波算法进行了分析比较。
The paper provides a new algorithm by introducing GM (1, 1) into Kalman filter .
针对这一问题，提出了一种基于GM （1， 1）模型的跟踪卡尔曼滤波方法。
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。
A new multisensor distributed track fusion algorithm is put forward based on combining the feedback integration with the strong tracking Kalman filter.
研究基于强跟踪滤波和反馈综合相结合的多传感器分布式航迹融合算法。
The basic variations in Kalman filter architecture are discussed and the multiple model estimation algorithm is presented as well.
讨论了建立卡尔曼滤波器的基本变量，最后探讨了卡尔曼滤波的多模型估计算法。
Kalman filter algorithm, proposed by Mr. Kalman more than 40 years ago, is the best way to solve the problem in the linear Gaussian environment.
四十多年前，卡尔曼先生提出了卡尔曼滤波算法，它简单而便于实现，是解决线性高斯环境下的问题的最佳方法。
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.
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。
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。
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。
At the same time the adaptive Kalman filter algorithm is introduced to process the initial locating results.
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。
Concerning the problem to instability and low accuracy of the passive filter on bearings-only target tracking, a modified adaptive Extended Kalman filter algorithm on polar coordinate is presented.
在水下被动目标跟踪系统中，直角坐标系下的扩展卡尔曼滤波器容易发散而导致滤波精度很差。
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。
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。
The fading factor restricts the length of the data which processed by the Kalman filter. And we use"one step"approximation algorithm to calculate the suboptimal fading factor.
引入的渐消因子限制了卡尔曼滤波中处理数据的长度，采用一步近似算法对次优渐消因子进行计算。
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.
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。
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。
Base on that, further research is developed on the simulation of the PLL, algorithm for satellite orbit rapid extrapolation, application of Kalman filter method and so on.
在此基础上，进一步开展了锁相环数字仿真、卫星轨道快速外推算法研究和卡尔曼滤波算法研究。
Base on that, further research is developed on the simulation of the PLL, algorithm for satellite orbit rapid extrapolation, application of Kalman filter method and so on.
在此基础上，进一步开展了锁相环数字仿真、卫星轨道快速外推算法研究和卡尔曼滤波算法研究。
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