The navigation filter was designed using extended Kalman filtering technique.
采用扩展卡尔曼滤波方法设计了导航滤波器。
Due to the nonlinearity of the state and measurement equations, the extended Kalman filter is used.
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。
Extended Kalman Filter (EKF) and converted measurement Kalman Filter (CMKF) have been widely used in radar target tracking.
在雷达目标跟踪中，扩展卡尔曼滤波(ekf)和转换坐标卡尔曼滤波(CMKF)得到了广泛的应用。
The extended Kalman filter(EKF) and converted measurement Kalman filter(CMKF) have been widely used in radar target tracking.
在非线性量测的情况下，EKF和CMKF得到了广泛的应用。
A method for estimating the parameters of incident wave Angle and incident power by the use of the extended kalman filter is proposed.
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。
This paper explores the application of an extended Kalman filter in flotation processes to improve the accuracy of grade analysis value.
本文探讨了将推广的卡尔曼滤波器用于浮选过程，以改进品位分析值精度的问题。
An extended Kalman filter with adaptive gain was used to build a miniature attitude and heading reference system based on stochastic model.
利用改进的自适应增益卡尔曼滤波器在随机模式下建立一个小型姿态确定系统。
Based on the extended Kalman filter, an identification method on physical parameters of bridge structures subjected to stochastic loads is proposed.
基于广义卡尔曼滤波提出了随机荷载作用下桥梁结构物理参数的识别方法。
According to the similar computation process of UKF and extended Kalman filter (EKF), the combined Kalman filter based on SSUKF and EKF was designed.
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。
For a vector control of a speed sensor less induction motor drive system, a novel speed estimated method using an extended Kalman filter is proposed.
本文针对无速度传感器异步电机矢量控制系统，提出了一个基于卡尔曼滤波器的异步电机速度辨识方法。
In nonlinear systems, the fusion algorithm based on extended Kalman Filter suffers from the disadvantage that the tracking precision is not satisfied.
在非线性系统中，常用的跟踪滤波算法是基于扩展的卡尔曼滤波算法的融合算法，但是这种融合算法的跟踪精度并不是很高。
The face motion could be estimated by using face skin color model integrated with feature based object recognition technique and extended Kalman filter.
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。
With its embedded Extended Kalman Filter, the IG-500N delivers unmatched precision for attitude and position measurements in very high dynamic conditions.
IG- 500n拥有嵌入式的扩展卡尔曼滤波器，使其在高速动态条件下能够提供无与伦比的姿态和方位测量精度。
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.
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。
In this paper, we proposed an adaptive tracking technique, based on extended Kalman filter approach, to identify the structural parameters and their changes.
本文采用了一种基于广义卡尔曼滤波的自适应追踪技术对结构的参数进行辨识。
With a modified polar coordinate, a specific method to realize bearings-only target tracking by means of an extended Kalman filter is discussed in this paper.
本文讨论在修正极坐标下利用推广卡尔曼滤波实现纯方位目标跟踪的具体方法。
Attitude calculation techniques, initial alignment methods and a real-time adaptive extended Kalman filter used for improve the system precision were discussed.
模块的组成、功能，详细说明了姿态角的计算、初始对准以及采用的稳定、实时、变增益自适应扩展卡尔曼滤波估计算法。
The rotor speed can be tacken as a state variable of the system by using the Extended Kalman Filter, which based on the vector control of an asynchronous motor.
在异步电机控制基础上 ，利用扩展卡尔曼滤波器将转子转速看成系统的一个状态量 ，根据定子侧可以测量的电流、电压值 ，逐步估计出转子转速 ，为研制无速度传感器控制打下基础。
In this paper a method of parameter estimation for nonlinear system is proposed by applying the extended Kalman filter and more satisfactory results are obtained.
本文提出了一种应用推广卡尔曼滤波器来估计非线性系统参数的方法，井获得了较为满意的结果。
A speed sensorless vector control system of induction motor with estimated rotor speed and rotor flux using a new reduced order extended Kalman filter is proposed.
提出一种估计异步电机转子速度和转子磁链的新型降阶推广卡尔曼滤波器算法，建立了基于此算法的异步电机无速度传感器矢量控制系统。
Third, introduce the principle of extended Kalman filter, and analyze the layout of GPS antenna and factors which can impact the accuracy of attitude determination.
第三，介绍了扩展卡尔曼滤波原理，并对GPS接收机天线的布局及影响定姿精度的因素进行了分析。
Utilizing celestial observations from star trackers, a 6-state extended Kalman filter is adopted to correct the satellites attitude error as well as gyro bias error.
利用星敏感器测量所得的恒星星光方向信息，采用六状态变量推广卡尔曼滤波，得到卫星姿态误差和陀螺漂移误差信息并进行相应的修正。
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 paper presents a hybrid model for urban arterial travel time prediction based on the so-called state space neural networks (SSNN) and the extended Kalman Filter (EKF).
提出了一种基于状态空间神经网络(SSNN)和拓展卡尔曼滤波(ekf)的混合式行程时间预测模型。
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.
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。
Based on vector control system of Bearingless Permanent Magnet Synchronous Motor (BPMSM), a speed-sensorless control strategy using Extended Kalman Filter (EKF) was presented.
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。
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。
Concerning the problem of instability and low accuracy of passive filter in underwater target tracking, a modified adaptive extended kalman filter (MAEKF) algorithm is presented.
针对在被动方式下进行水下目标跟踪容易导致滤波发散和收敛精度不高的问题，介绍了一种改进的自适应推广卡尔曼滤波算法。
Concerning the problem of instability and low accuracy of passive filter in underwater target tracking, a modified adaptive extended kalman filter (MAEKF) algorithm is presented.
针对在被动方式下进行水下目标跟踪容易导致滤波发散和收敛精度不高的问题，介绍了一种改进的自适应推广卡尔曼滤波算法。
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