2种卡尔曼滤波算法的应用分析

Application Analysis of Two Kalman Filter Algorithms

将传统的扩展卡尔曼滤波(EKF)和基于无味变换(UT)和标准卡尔曼滤波体系相结合的无味卡尔曼滤波(UKF)算法应用于反辐射导弹抗雷达关机的技术中,并对其进行仿真分析。结果表明,UKF算法具有跟快的收敛性和具有更高的精度,并能有效克服非线性严重时出现的滤波发散的问题,较好地达到了反辐射导弹抗雷达关机的目的。

Traditional extended Kalman filtering （EKF） and unsented Kalman filtering（UKF） based on the combination of unsented translation （UT） and standard Kalman filter system are utilized in the technology of antiradiation missile （ARM） against the switching-off of radar. The results shows that UKF has higher accuracy and can overcome filter divergence in serious non-linear, realizes the purpose of ARM against the switching-off of radar well.