摘要
在对经典Kalman滤波器和强跟踪Kalman滤波器分析的基础上,给出了改进的强跟踪Kalman滤波器方法,并进一步给出了改进的强跟踪Kalman滤波器分布式信息融合方法。该方法底层采用改进的强跟踪器滤波,上层采用估计误差方差最小方法进行分布式信息融合,信息融合结果精度高,同时对突变信号有很强的实时跟踪能力。仿真结果表明该方法的有效性和可靠性。
On the basis of the analysis of basic Kalman filter and strong-tracking Kalman filter, we propose a modified strong-tracking Kalman filter and a modified strong-tracking Kalman filter distributed information fusion algorithm. In this method, we adopted modified strong-tracking Kalman filter on the bottom information processing, and the smallest variance estimation error method used on the top. Fusion results have high precision and a very strong real-time tracking capability for urgent change signal. Simulation shows the validity and reliability of this method.
出处
《计算机与数字工程》
2009年第8期54-57,117,共5页
Computer & Digital Engineering
基金
"十一五"国家科技支撑计划重点项目(编号:2008BADA8B03)资助
