摘要
卡尔曼滤波用于高机动目标跟踪随滤波时间的增大,滤波方差及增益对目标机动噪声的适应性差,滤波误差较大。文中研究了一种方差模糊自适应卡尔曼滤波技术,根据滤波新息幅值大小直接调解滤波方差.强化了滤波算法对目标机动噪声的适应能力。仿真结果表明,改进的算法稳定性高,精度得到明显改善,用于高机动目标跟踪拦截系统效果较好。
Kalman filter is widely used in maneuvering target tracking,but with the process of time.the algorithm gain and covariance don't adapt to the changes in target accelerations and hence big filtering errors are produced.This paper put forward a new kind of improved Kalman filter algorithm based on fuzzy-logic theory.Fuzzy-logic unit uses the inno- vations as its inputs,the outputs are used to adjust covariance matrix in an inverse direction compared with the changes of filter's errors.Simulation results demonstrate that the algorithm improves the filter precision,especially in the cases of high maneouvring target tracking.
出处
《弹箭与制导学报》
CSCD
北大核心
2005年第S5期509-511,共3页
Journal of Projectiles,Rockets,Missiles and Guidance
关键词
卡尔曼滤波
自适应
模糊控制
目标跟踪
Kalman filter
adaptive technique
fuzzy control
target tracking
