UKF:无气味卡尔曼滤波器

“无气味卡尔曼滤波器”(Unscented Kalman Filter,简称UKF)是一种常用于非线性系统状态估计的数学工具,广泛应用于自动控制、信号处理等工程与科研领域。该名称中的“无气味”并非指嗅觉概念,而是强调该方法无需对非线性函数进行线性化近似,从而保持更高的精度与稳定性。为便于书写和交流,学界普遍使用其英文缩写UKF。

Unscented Kalman Filter具体释义

  • 英文缩写:UKF
  • 英语全称:Unscented Kalman Filter
  • 中文意思:无气味卡尔曼滤波器
  • 中文拼音:wú qì wèi kǎ ěr màn lǜ bō qì
  • 相关领域ukf 数学

Unscented Kalman Filter的英文发音

例句

  1. After analyzing the model of high dynamic signals, a quasi-open-loop carrier tracking method based on unscented Kalman filter ( UKF ) is proposed.
  2. 在分析高动态载波信号模型的基础上,提出了一种基于无迹卡尔曼滤波(UKF)的准开环载波跟踪方法。
  3. Method for radar target tracking based on sequential unscented Kalman filter
  4. 基于序贯无迹卡尔曼滤波的雷达目标跟踪方法
  5. This paper presents a real-time background subtraction and moving shadow detection method based on Unscented Kalman Filter(UKF) ( UKF ), and constructs the whole frame for moving object detection.
  6. 提出了基于无偏卡尔曼滤波器(UKF)的背景提取和阴影检测方法,构建整体的运动物体检测框架。
  7. This algorithm adopts the weight control parameter to decide whether the particle enters unscented Kalman filter, thus decreasing filtering computing amount and having the same precision of UPF.
  8. 该算法采用权值控制参数决定粒子是否进入平淡卡尔曼滤波器,有效降低了滤波计算量,并和UPF算法精度相当。
  9. In view of nonlinear feature of measure equation, a ground target tracking algorithm based on the unscented kalman filter ( UKF ) is given. Finally, the simulation experiment is analyzed.
  10. 针对雷达测量模型非线性的特点,提出了基于无迹卡尔曼滤波UKF算法的地面目标跟踪算法,并进行了仿真试验分析。