机动再入目标的FGPF-BLUE跟踪

机动再入目标的运动具有明显的非线性,其观测又往往在传感器坐标系下进行,构成强非线性的跟踪问题.为了克服扩展卡尔曼滤波和粒子滤波在跟踪精度和实时性方面的缺点,提出了一种新型的非线性跟踪算法.新型的FCPF-BLUE滤波将快速高斯粒子滤波的预测步骤与最优线性无偏估计的更新步骤相结合,是一种半蒙特卡罗滤波方法.建立了机动再入...

FGPF-BLUE Tracking for Maneuvering Reentry Targets

The tracking problems of maneuvering reentry targets often turn out to be highly nonlinear problems,for both of the dynamic and the observation models could be nonlinear.In order to overcome the disadvantages of Extended Kalman Filter(EKF) and Particle Filter(PF) in precision and real-time performance,a new nonlinear filter was proposed.The new FGPF-BLUE(Fast Gaussian Particle Filter-Best Linear Unbiased Estimator) filter was constructed by combining predictive steps of the FGPF and the updating steps of th...