摘要
针对两传感器信息融合 ,提出了一种在标量加权下的最优信息融合 Kalm an滤波器。该信息融合滤波器考虑了局部滤波误差的相关性 ,避免了局部滤波误差方差阵的逆矩阵的计算 ,也避免了加权矩阵的计算 ,只要求计算加权系数 ,便于实时应用。一个跟踪系统的仿真例子验证了其有效性。
An optimal information fusion Kalman filter weighted by scalars is presented for two sensor information fusing.For the information fusion filter,we consider the correlation between local filtering errors,and avoid to compute the inverses of the error variance matrices of the local filtering,and avoid to compute weighted matrices,only require to compute weighted coefficients.It is easy to apply in real time.A simulation example for a tracking system shows its effectiveness.
出处
《宇航学报》
EI
CAS
CSCD
北大核心
2003年第2期206-209,共4页
Journal of Astronautics
基金
国防基础科研基金资助项目
