基于固定滞后滤波平滑的弹道重构算法  

Trajectory reconstruction algorithm based on fixed-lag filter-smoother

作　　者：朱大林[1] 唐胜景[1] 郭杰[1] 杨贯通[1] 

机构地区：[1]北京理工大学宇航学院飞行器动力学与控制教育部重点实验室,北京100081

出　　处：《系统工程与电子技术》2014年第1期123-127,共5页Systems Engineering and Electronics

基　　金：国家自然科学基金(11202024)资助课题

摘　　要：为有效利用雷达测量的飞行数据进行弹箭的实际弹道重构,建立了弹道重构需要的状态方程和量测方程,考虑模型的非线性和重构状态非高斯分布的可能性,结合Bootstrap粒子滤波给出一种一步固定滞后滤波平滑算法的实现,并将其作为弹道重构的估计工具。算例仿真表明,相比于Bootstrap粒子滤波和无迹卡尔曼滤波,该Monte Carlo平滑算法可以进一步提高估计的精度,为弹道重构提供一种新的有效工具。To reconstruct the practical trajectory via effectively using flight data measured by radar for projectiles, reconstruction model with state equations and observation equations is established. Faking account of the inherent model nonlinearity and potential non-Gaussian distribution of reconstruction states, a one step fixed-lag filter-smoother algorithm is proposed as the estimation method combined with Bootstrap particle filte ring. Simulation results show that the proposed Monte Carlo smoothing algorithm can achieve much more accu rate estimates than the Bootstrap particle filtering and unscented Kalman filter. Consequently, the proposed al gorithm provides a novel effective estimation approach to trajectory reconstruction.

关 键 词：弹道重构 粒子滤波 MONTE Carlo平滑 滤波平滑 

分 类 号：TJ012.3[兵器科学与技术—兵器发射理论与技术]