MKF:矩阵卡尔曼滤波器
“矩阵卡尔曼滤波器”(Matrix Kalman Filter)在学术与工程领域应用广泛,通常简称为MKF,以方便快速书写和引用。这一术语多见于综合性技术文献或未明确分类的研究范畴,主要用于系统状态估计和动态跟踪分析。
Matrix Kalman Filter具体释义
Matrix Kalman Filter的英文发音
例句
- On-line Estimation for Image Jacobian Matrix Based on Improved Kalman Filter
- 基于改进的卡尔曼滤波图像雅可比矩阵估计
- An expert system was designed to estimate the vehicle motion to adjust the measurement noise matrix of the extended Kalman filter equation so that the system can be used in dynamic as well as static environments.
- 设计专家系统判断飞行器的运动状态,并根据该状态调整滤波算法中的测量噪声矩阵,使系统可同时满足静态情况和动态情况的使用;
- Furthermore, singular value decomposition ( SVD ) is applied in the calculation of the covariance matrix of the formulas of Kalman Filter.
- 同时,在卡尔曼滤波计算中,将奇异值分解应用于卡尔曼滤波的递推公式中,提高了协方差阵计算的数值稳定性。
- Quaternion algorithm is used to calculate the attitude matrix in this paper. Kalman filter algorithm is used to modify the attitude error of vibrational carrier. Secondly, the whole system design of AHRS based on MEMS is given in the paper.
- 本文采用四元数法解算姿态矩阵,同时采用卡尔曼滤波算法修正摇摆载体的姿态误差来计算载体的姿态。其次,本论文给出了整个基于MEMS的航姿参考系统的总体设计方案。
- The concept of steady-state Kalman filter is presented, and the steady-state value of the gain matrix is used to calculate the Kalman filter.
- 提出了稳态Kalman滤波器的概念,并用Kalman滤波器增益阵的稳态值计算Kal-man滤波器。
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