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 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 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 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。
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 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 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。
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。
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。
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。
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。
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 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。
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 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。
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。
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。
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。
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。
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 theory and algorithm of Kalman filter were introduced in detail. The paper told how to design the practical model and operation method.
详细阐述了卡尔曼滤波技术应用于食品分析的基本原理和算法，讨论了实际应用中的模型建立与操作方法。
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 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。
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。
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。
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。
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。
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。
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。
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。
应用推荐