摘要
证明了在某一目标机动输入下为保持跟踪最优 ,标准卡尔曼滤波器的过程噪声协方差阵的调整公式 ,并利用观测新息在目标机动中发生正偏或负偏的信息 ,设计了一种自适应跟踪算法 .仿真说明该算法具有运算量小 。
With a certain maneuvering input, an equation to adjust the process noise covariance of standard Kalman Filter to keep the optimal estimation has been put forward. With the positive or negative bias information of the innovation, an adaptive tracking algorithm is designed. Simulation results show the characteristics of calculated simplicity and high tracking precision of the algorithm.
出处
《信息与控制》
CSCD
北大核心
2001年第4期333-336,355,共5页
Information and Control
基金
国防预研基金资助项目
