摘要
美国的"天基红外系统"(SBIRS)包括高轨和低轨两类预警星座,前者主要用于弹道导弹主动段探测,后者主要用于被动段的跟踪测量。文章利用其高轨静止星座,对只有角测量条件下的主动段弹道估计滤波算法进行了分析比较。首先给出主动段状态方程和测量方程,然后分别结合扩展卡尔曼滤波、无迹卡尔曼滤波和粒子滤波这三类典型非线性滤波估计算法,对主动段弹道估计问题进行求解。针对上述研究问题,仿真结果表明,综合考虑滤波稳定性、估计精度和计算效率,无迹卡尔曼滤波要优于扩展卡尔曼滤波和粒子滤波。
Space-based Infrared System（SBIRS） consists of two kinds of constellation which are SBIRS-High and SBIRS-Low.SBIRS-High is aimed at the ballistic missile during boosting phase,and SBIRS-Low is aimed at the ballistic missile during coast phase.Trajectory estimation for boost phase with angles-only measurements is studied in this paper based on SBIRS-High.By giving state equations and measurement equations firstly,the three representative filters for nonlinear estimation,extended Kalman filter（EKF）,the unscented Kalman filter（UKF） and particle filter（PF） are used in order to compare their performance in angles-only boost trajectory estimation.Numerical simulations with different measurement noise and different process noise are performed.The results show that UKF is preferred considering filter stability,estimation precision and computational efficiency.
出处
《航天器工程》
2011年第3期56-63,共8页
Spacecraft Engineering
