| 释义 |
UKFBNC²³⁶²¹³⁺¹
基本例句
UKF滤波
A new single- station passive location method combining phase difference and UKF algorithm is presented.
提出了相位差与无迹卡尔曼 UKF算法相结合的单站无源定位方法。 cnki
Meanwhile, the author did MATLAB simulation for the extend Kalman filtering EKF and UKF algorithms.
用 MATLAB对扩展卡尔曼滤波 EKF及 UKF算法进行了系统仿真； fabiao
Successful using UKF algorithm, which deals with the strong nonlinear problem of orbital determination in the starlight angle method, makes system to belong to better performance.
星光角距定轨法由于使用了 UKF滤波方法解决了定轨中的严重非线性问题，在不增加计算量的前提下提高了定轨的精度。 cnki
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。 http://dict.cnki.net
Based on UKF the precision of autonomous navigation was improved obviously.
利用 UKF滤波定轨算法，明显提高了自主定轨的精度。 cnki
For passive bistatic radar target tracking problem, the performances of several nonlinear filtering algorithms such as EKF, UKF and CDF were simulated and analyzed.
针对无源双基地雷达目标跟踪问题，仿真分析了 EKF、 UKF、 CDF等几种非线性滤波算法的状态估计性能。 dictall
In this paper, UKF is applied to a3-D underwater target tracking system.
文章将其应用于三维水下目标跟踪系统中。 dictall
In chapter four, we use EKF, UKF, SIR to tracking a single target in typical nonlinear environment.
在第四章，用 EKF、 UKF和 SIR算法跟踪同一个进行非线性运动的物体并做了相关的比较。 cnki
In various noise environments, the comparative studies have been carried out on the fault detection and diagnosis for nonlinear stochastic systems with EKF, UKF and PF, respectively.
在不同噪声环境下，对基于 EKF、 UKF和 PF的非线性随机系统的故障诊断方法进行了比较研究。 cnki
Several sigma points are gotten by the U transformation of the state vector. Then the UKF algorithm is used to estimate the nonlinear spread- spectrum signal.
该算法通过对状态向量进行 U变换，得到多个西格马点，然后利用 UKF算法对非线性的扩频信号进行滤波估计。 cnki
Simulation result showed that the locating performance of the UKF was apparently better than that of EKF, which has faster convergence speed and higher convergence precision.
仿真结果表明 UKF算法的定位性能要明显优于 EKF算法，具有更快的收敛速度和更高的收敛精度； opticsjournal
Simulation results show that the position precision is high and is comparative with that of the UKF.
仿真结果表明，提出算法的定位精度很高，与 UKF算法的效果相当。 cnki
Simulation results showed that the application of UKF in all- attitude integrated navigation system of SINS/ GPS can improve the observability of the system and also the navigation precision.
仿真结果表明，将 UKF算法用于 SINS/ GPS全姿态组合导航系统可以改善系统的可观测性，提高导航精度。 opticsjournal
The results show that the method has strong tracking capability, robustness and stability. Moreover, a strong tracking UKF algorithm has similar accuracy with that of the normal UKF algorithm.
仿真结果表明该方法具有很强的跟踪能力，并且鲁棒性、稳定性和精度与常规 UKF算法相当。 cast
The simulation results shows that on the same simulation environment, UKF- PF algorithm has better estimating precision and convergence than the formers, but it loses more computation time as expense.
仿真结果表明：相同仿真环境下， UKF- PF算法在收敛速度及估计精度上都优于前两者，但却以更多的计算时间为代价。 cnki
The new filter utilizes the MEP process of Nonlinear Predictive Filter NPF, which can adjust the inaccurate model in real time and thus remedy the shortage of the UKF.
它利用非线性预测滤波器 NPF的模型误差预测过程，能够对不准确的系统模型进行实时修正，弥补了 UKF方法的不足。 magsci
The adaptive UKF algorithm was adopted to solve the non-linear and filter volatilization problems. A sample system was made out to be tested.
文中针对组合滤波中的非线性和滤波发散等问题，采用自适应 UKF算法解决，完成了系统原理样机的设计实现，并进行了相关测试。 chinatransducers
This paper focuses on the autonomous relative guidance algorithm based on the UKF in the process of proximity.
本文研究了基于 UKF滤波器的自主相对导航算法。 cnki
This paper presents a real-time background subtraction and moving shadow detection method based on Unscented Kalman Filter UKF, and constructs the whole frame for moving object detection.
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。 dictall
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。 cnki
Unscented Kalman filter UKF is a new nonlinear filtering method which does not linearize the equations thus avoiding the error due to the linearization.
不敏卡尔曼滤波 UKF是一种新的非线性滤波的方法，它能减少线性化截断误差对系统定位精度的影响。 cnki
UKF for two classes of hybrid system are investigated and a specific simplified UKFSUKF is raised.
研究了两类混合系统的 UKF滤波问题，提出了针对混合系统的简化 UKF方法。 cnki
UKF is applied to nonlinear initial alignment of SINS on the stationary base.
将UKF方法应用于静基座对准，研究了非线性静基座对准问题。 cnki
UKF gives at least second order approximation of estimations.
UKF能给出最佳估计的至少二阶近似。 cnki |