摘要
研究机动目标跟踪过程中机动频率的自适应调整方法,使其值更加符合目标的实际机动状况.根据卡尔曼滤波残差是否符合零均值正态分布,判断目标机动频率是否发生改变,并采用简化的最小均方误差(LMS)算法对机动频率加以自适应调整.仿真实验表明,通过对频率自适应调整,使机动目标的位置、速度估计误差明显减小.
Adaptive adjustment of maneuvering frequency in targets tracking is studied so that the value of maneuvering frequency can be in accord with the actual maneuvering situation. Changes in the maneuvering frequency can be detected through the Kalman filter residual whether it accords with zero mean Gaussian distribution. The simplified least-mean-square error （LMS） algorithm is adopted to adjust the maneuvering frequency adaptively. In the simulation test, the position error and velocity error of maneuvering targets was seen to be reduced greatly. It indicates that the adaptive adjustment of maneuvering frequency is effective.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2007年第1期38-41,共4页
Transactions of Beijing Institute of Technology
基金
"211"工程二期投资建设项目
关键词
机动频率
目标跟踪
状态估计
自适应调整
maneuvering frequency
target tracking
state estimation
adaptive adjust
