1)Kalman filterKalman滤波器
1.Application of Kalman filter to measurement of sound power for medical ultrasonic diagnostic equipment;Kalman滤波器在医用超声诊断设备声功率计量中的应用
2.Self-tuning decoupled fusion Kalman filter based on Riccati equation;基于Riccati方程的自校正解耦融合Kalman滤波器
3.Application of Kalman Filter in a Single Automatic Tracking of Moving Targets;Kalman滤波器在单运动目标自动跟踪中的应用
英文短句/例句
1.Mixture Gaussian background modeling improved by Kalman filteringKalman滤波器对混合高斯背景建模的改进
2.Mean-Shift tracking algorithm combined with Kalman filter结合Kalman滤波器的Mean-Shift跟踪算法
3.Kalman Filter with Coloured Observation Noises for Descriptor Systems带有色观测噪声的广义系统Kalman滤波器
4.Self-tuning Decoupled Fusion Kalman Filter and Its Convergence自校正解耦融合Kalman滤波器及其收敛性
5.Designing of Rotor Flux Observer Based on Extended Kalman Filter;基于扩展Kalman滤波器电机转子磁链观测器的设计
6.Research on Relative Localization of Autonomous Land Vehicle Based on Kalman Filter;基于Kalman滤波器的自主车辆定位方法研究
7.Parameter Estimation:Based on Kalman Filter and Genetic Algorithm;基于Kalman滤波器和遗传算法的参数估计方法
8.Self-tuning Measurement Fusion Kalman Filter for Systems with Correlated Noises带相关噪声系统的自校正观测融合Kalman滤波器
9.Adaptive Estimate of Noise Covariance Matrix in Kalman Filter基于自适应Kalman滤波器的原子钟信号预测方法
10.Information Fusion Kalman Filter with Coloured Noises for Descriptor Systems带有色噪声的广义系统信息融合Kalman滤波器
11.GPS/DR Integrated Vehicle Navigation System Based on MEMS and Design of Federated Kalman Filter;基于MEMS的GPS/DR车载组合导航系统及联合Kalman滤波器的设计
12.Application and Research in Pipelines Leak with an Improved Robust Adaptive Kalman Filter自适应抗差Kalman滤波器在管道泄漏检测中的应用研究
13.A PID Controller Based On Measurement Fusion Kalman Filtering Algorithm基于观测融合Kalman滤波算法的PID控制器
14.Tracking target by multi-sensor fusion using adaptive Kalman filtering多传感器跟踪系统自适应Kalman滤波融合
15.An Dynamic Kalman Filter Restraining Outliers For Target Tracking一种抗野值的Kalman跟踪滤波器
16.Estimation of VaR Based on Kalman Filter and Generalized Kalman Filter基于Kalman滤波和广义Kalman滤波的VaR估计
17.Research on Kalman Filter-Based Query Optimization for Data Stream;基于kalman滤波器的数据流查询优化的研究
18.Data Compression Methods for Multisensor Kalman Filter Fusion;一般多传感器Kalman滤波融合中的观测数据压缩
相关短句/例句
Kalman filteringKalman滤波器
1.Multiple model Kalman filtering for MEMS-IMU/GPS integrated navigation;MEMS-IMU/GPS组合导航中的多模态Kalman滤波器设计
2.In this paper,a Kalman-CS scene-based correction algorithm which combines the Kalman filtering algorithm with the constant-statistics (CS) algorithm is proposed.本文将Kalman滤波器校正算法与常数统计(CS)校正算法相结合,提出了Kalman-CS校正算法。
3.A new interval Kalman filtering (IKF) is described firstly, then uncertain dynamics modelling of an integrated GPS/INS system is discussed.针对具有不确定动态模型参数的GPS/INS组合导航系统,首先介绍一种新型的区间Kalman滤波器,讨论了GPS/INS组合系统中模型参数不确定性的问题,分析了惯性传感器建模中相关时间常数的区间特性,并建立了适合非线性特性的GPS/INS组合系统的扩展区间卡尔曼滤波器。
3)Kalman filterKalman 滤波器
1.Comparing with Kalman filter the strong tracking filter is well in adaptive maneuvering target and dependance on the choice of model.在与传统的 Kalman 滤波器相比,强跟踪滤波器在机动目标的适应,运动模型的依赖性方面都有了很大的提高。
4)Kalman filtering correctionKalman滤波器法
1.In this paper, we introduce the approach of constant range correction, Kalman filtering correction and trace along trajectory correction.本文介绍了恒定范围统计法、Kalman滤波器法和轨迹跟踪法。
5)Combined Kalman Filtering组合Kalman滤波器
1.The Application of Combined Kalman Filtering to the Kinematic GPS Positioning;组合Kalman滤波器在GPS动态定位中的应用
6)Extended Kalman Filter扩展Kalman滤波器
1.Extended Kalman filter (EKF) is a nonlinear estimation method based on optimal control theory.扩展Kalman滤波器考虑了系统噪声和测量噪声的影响,是一种基于最优控制理论的非线性估计方法。
2.A speed sensorless vector control method of induction motor using extended Kalman filter (EKF) was proposed to overcome the shortcomings of the classical EKF, such as the high dimensionality of the iterative matrixes and the large amount of calculation.为了解决传统扩展Kalman滤波器(EKF)迭代矩阵维数高、计算量大的缺点,提出了一种新的基于扩展Kalman滤波器的异步电机无速度传感器矢量控制方法。
3.The rotor position and speed of a permanent magnet synchronous motor(PMSM) are estimated for mechanical sensor-less vector control by an extended Kalman filter(EKF) algorithm suitable for solving the nonlinear PMSM equations.为了准确估计永磁同步电机(PMSM)的转子位置和转速,并实现无机械传感器矢量控制,提出了一种基于扩展Kalman滤波器(EKF)的转子位置和转速观测器,适合于求解永磁同步电机的非线性方程。
延伸阅读
波数字滤波器 由两端终接电阻负载的无源LC梯形滤波器导出的一种数字滤波器结构。应用双线性变换S=k(1-Z-1)/(1+Z-1)可将用波参数描述的无源元件,实现为数字元件。表1列出了无源元件R、C、L及其对应的由延时单元、乘法器和加法器构成的数字元件。 通常高阶递归型数字滤波器的级联型或并联型有产生极限环振荡的危险。此外,在输入信号非常小时,由于舍入误差的高度相关，也可能导致数字滤波器的不稳定而产生固定振荡。1971年，提出波数字滤波器的伪无源性概念，并论证了这种数字滤波器的低灵敏度特性。波数字滤波器具有良好的稳定性，可以用较短的系数字长实现，有良好的动态范围，不会出现极限环振荡（即在环路情况下应用也不会出现任何杂散振荡）。这种数字滤波器特别适用于通信系统。 在波数字滤波器结构中，用波参数描述的元件，在联接时必须遵从端口间阻抗匹配的原则。相应地，数字元件之间的联接按其为串联或并联分别采用由乘法器和加法器构成的串联适配器或并联适配器匹配联接。适配器符号及其对应的联接关系见表2。图为三阶椭圆型低通LC 梯形滤波器及其等效的波数字滤波器。 波数字滤波器的另一种结构称为波格型数字滤波器，是由对称型或格型无源LC 滤波器导出的。 参考书目 A. Antonious, Digital Filter : Analysis and Design,McGraw-Hill Co.,New York,1979.
