Research on RBFNN-aided adaptive UKF algorithm
Research of UKF in Double Inverted Pendulum
Target Passive Tracking Based on UKF Filter
Interacting Multiple Model Algorithm Based on UKF and Model Error
Application of UKF in deeply coupled GPS/INS navigation system
Application of Simplified UKF Algorithm in Camera Calibration
Tracking Algorithms for Single Target Based on UKF;
The Application of UKF Algorithm in an Underwater Target Tracking System
Maneuvering Target Tracking with Coordinated Turn Motion Based on IMM-UKF
Bearings-Only Tracking of Maneuvering Target Based on IMM-UKF Algorithm
A case study in real-time UKF-based navigation for indoor autonomous travel of mobile robots
将UKF方法应用于静基座对准，研究了非线*静基座对准问题。
Unscented Kalman filter(UKF) is a new nonlinear filtering method which does not linearize the equations thus avoiding the error due to the linearization.
Then the float ambiguity resolution was passed into an unscented Kalman filter as initial state value. UKF estimated the precise ambiguity resolution in real time with the initial value.
因此，UKF能够满足两轮自平衡机器人快速机动过程中的实时姿态估计要求。
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*的扩频信号进行滤波估计。
不敏卡尔曼滤波（UKF）是一种新的非线*滤波的方法，它能减少线*化截断误差对系统定位精度的影响。
