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。
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.
高级功能包括自适应低音扩展，高度精确的扬声器分频和滤波，3d音效处理，APC(自动位置校正)。
Advanced features include adaptive bass extension, highly accurate loudspeaker crossover and filtering, 3d audio processing, APC (automatic position correction).
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。
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.
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。
To investigate the problem of tracking a high accelerating maneuvering target with netted radar system, the parallel extended Kalman filtering algorithm is derived.
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。
An extended Kalman filtering (EKF) algorithm is designed for radiolocation in cellular communication system, simulation is conducted to examine its performance.
所提出的算法从稀疏化的角度对扩展信息滤波slam算法进行改进。
From the view of sparsification, an improved algorithm based on extended information filter SLAM is introduced.
采用扩展卡尔曼滤波实现异质传感器融合。
It utilizes extended Kalman filtering to carry out heterogeneous sensor fusion.
扩展的卡尔曼滤波定位方法是一个常用的位置跟踪方法，但是在对非线性系统方程进行线性化近似过程中引入了线性化误差。
Extended Kalman Filter is an efficient tool for mobile robot position tracking, but it suffers from linearization errors due to linear approximation of nonlinear system equations.
设计了多位置测漂方案，利用扩展卡尔曼滤波对理想、非理想线振动条件下的参数辨识问题进行仿真。
The application of the Extended Kalman Filter (EKF) to identify INS platform drift error coefficients under the condition of ideal and nonideal linear vibration is presented.
以人脸肤色模型为基础，结合目标形状特征识别方法，并用扩展卡尔曼滤波估计目标运动轨迹，实现基于肤色的人脸实时跟踪鲁棒方法。
The face motion could be estimated by using face skin color model integrated with feature based object recognition technique and extended Kalman filter.
该方法将主惯导数据测量延迟时间扩展为卡尔曼滤波器的一个状态变量，并同时考虑了测量延迟时间对速度和姿态测量量的影响。
The method augments the measurement delay as a state of conventional Kalman filter as a state, and impacts on both velocity and attitude measurements owing to the time delay are also considered.
本文提出了一种利用扩展卡尔曼滤波器算法来估计BLDCM的转速和位置的方法。
A novel method for speed and rotor position estimation of BLDCM, which applies extend Kalman filter (EKF), is presented in this paper.
扩展的卡尔曼滤波方法已经有效地用于非线性模型。
The extended Kalman filtering method has been effectively used in the nonlinear model.
通过适当的选取图像特征，实现了摄像机工作空间运动目标跟踪的视觉伺服任务，并采用扩展卡尔曼滤波控制方法完成机器人视觉伺服控制。
Floating object tracking in the whole working space of a camera can be obtained through selecting image features, and Kalman filtering control was adopted to realize visual servo control of robot.
由于状态和观测方程都是非线性的，故采用了扩展的卡尔曼滤波器。
Due to the nonlinearity of the state and measurement equations, the extended Kalman filter is used.
基于无轴承永磁同步电机的矢量控制系统，提出了采用扩展卡尔曼滤波器实现无速度传感器运行的控制策略。
Based on vector control system of Bearingless Permanent Magnet Synchronous Motor (BPMSM), a speed-sensorless control strategy using Extended Kalman Filter (EKF) was presented.
设计扩展卡尔曼滤波器进行卫星编队轨道状态估计，数学仿真结果验证了这种导航方案和算法的有效性。
The orbit states estimation is achieved through the extended Kalman filters design. The simulation results verify the validity of this navigation method, and show preferable navigation accuracy.
根据UKF和扩展卡尔曼滤波(ekf)计算过程相似的特点，设计了SSUKF和EKF相结合的混合卡尔曼滤波算法。
According to the similar computation process of UKF and extended Kalman filter (EKF), the combined Kalman filter based on SSUKF and EKF was designed.
利用单目摄像头提取和跟踪环境特征点集，进而根据观测模型利用扩展卡尔曼滤波算法估算出机器人的位姿。
It extracts and tracks feature point sets in the environment with single camera, and then calculates position and pose of the robot with measurement model and extended Kalman filtering.
基于该积分器及对数压缩电路和指数扩展电路，系统地给出了高阶滤波器设计的无源网络模拟方法。
Based on this integrator, log compressing and exponential expanding circuit, a passive simulation method for higher order filters is given systematically.
本文应用扩展的卡尔曼滤波估计结构动态参数，文中提出一种简便的减缩变量卡尔曼游波方法，采用等效线性化原理识别结构的非线性参数。
A reduced Kalman filter method for estimating the dynamic parameters of structures is presented in the paper. The results of calculation and test show that this method is effective.
并对该解进行扩展线性化处理，得到了一个较易实现的扩展鲁棒滤波算法。
For easy application, a new robust filter, which is the extended linearizing realization of the solution, is provided.
在确定卫星姿态确定的状态估计法中，经典的扩展卡尔曼滤波(ekf)和新提出的非线性预测滤波(NPF)这两种实时滤波算法各有优缺点。
In state estimation of satellite attitude determination, both traditional extended Kalman filter (EKF) and the proposed nonlinear predictive filter (NPF) have their own merits and defects.
提出了采用扩展卡尔曼滤波器估计入射波参数(入射角度和入射功率)的方法。
A method for estimating the parameters of incident wave Angle and incident power by the use of the extended kalman filter is proposed.
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。
With the algorithm of extend Kalman filter, the target motion analysis is discussed.
仿真结果表明，对于纯方位跟踪问题，UPF不仅解决了扩展卡尔曼滤波器的线性化损失难题，而且与PF等粒子滤波器相比，具有更高的跟踪精度。
The results show that the UPF not only solves the linearized loss problem in the extended Kalman filter, but also is more accurate than the PF in the BOT.
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。
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.
利用扩展卡尔曼滤波器估计这种偏差，并用估计偏差对传感器测量进行校正。
The mentioned error can be estimated by using the extended Kalman filters, and the estimated error is used for calibrating the sensor measurement.
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。
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.
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。
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.
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