the filter for original descriptor system with coloured noise is derived.The precision of the filtering weighted fusion algorithm is higher than that of the local Kalman filter for every sensor and is lower than that of optimal centralized Kalman fusion filter.Monte-Carlo simulation experiment proves...
Kalman filtering-based information fusion Wiener filter of autoregressive moving average signals基于Kalman滤波的自回归滑动平均信号信息融合Wiener滤波器 By using the Kalman filtering method and the linear minimum variance optimal fusion rule weighted by matrices,a multisensor...
Kalman filtering-based information fusion Wiener filter of autoregressive moving average signals基于Kalman滤波的自回归滑动平均信号信息融合Wiener滤波器 DENG Z L,GAO Y.Kalman Filtering-based Information Fusion Wiener Filter of Autoregressive Moving Average Signals.Control Theory and Applications. 2005... DENG...
information-fusion-kalman-filter 例句 释义: 全部 更多例句筛选 1. Two sensors optimal information fusion Kalman filter and its application in tracking systems 两传感器最优信息融合Kalman滤波器及其在跟踪系统中的应用 www.ilib.cn© 2025 Microsoft 隐私声明和 Cookie 法律声明 广告 帮助 反馈...
State space maximum correntropy filter Signal Process. (2017) ChenB.et al. Maximum correntropy Kalman filter Automatica (2017) M.Nørgaardet al. New developments in state estimation for nonlinear systems Automatica (2000) JiaB.et al. High-degree cubature Kalman filter ...
信息融合Kalman滤波器,实现了解耦信息融合Kalman滤 波器.它的精度和计算负担介于按矩阵和按标量加权融合器两者之间,且便于实时应用.为了计算最优加权,提出 了计算稳态滤波误差方差阵和协方差阵的Lyapunov方程.一个三传感器的雷达跟踪系统的仿真例子说明了其有 效性. 关键词:多传感器;按对角阵加权信息融合Kalman滤波器;...
The simulation researches of the comparisons among them as well as the centralized filter in a radar tracking system with three sensors show their effectiveness. 展开 关键词: multi-sensor optimal information fusion distributed kalman filter cross-covariance DOI: 10.1016/j.ast.2003.08.003 年份: ...
Recently, some sigma-point filters, such as the unscented Kalman filter, the particle filter, or the cubature Kalman filter have been proposed as promising substitutes for the conventional extended Kalman filter. For multisensor fusion, the information form of the Kalman filter is preferred over ...
The vast majority of SLAM algorithms are based on the extended Kalman filter (EKF). In this paper we advocate an algorithm that relies on the dual of the EKF, the extended information filter (EIF). We show that when represented in the information form, map posteriors are dominated by a ...
A new information formulation of the Kalman filter is presented where the information matrix is parameterized as the product of an upper triangular matrix, a diagonal matrix, and the transpose of a triangular matrix (referred as UDU factorization). The UDU factorization of the Kalman filter is kno...