伪线性主动段弹道估计方法
The Trajectory Estimation in Boost-Phase Using Pseudolinear Estimator
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摘要: 该文主要分析了星载被动传感器对目标的运动参数估计问题,它也是空间预警系统的关键技术之一.文中提出的伪线性测量-卡尔曼滤波(PM-KF)的弹道估计方法减小了测量方程非线性所带来的估计误差,较之EKF滤波有更好的估计精度.Abstract: Trajectory estimation using the measurement of arrival angles from space-based infrared sensors is one of the key technologies in the space early warning system. This paper presents a pseudolinear measure-Kalman estimator for trajectory estimation in boost-phase. Compared with EKF and CRLB, this estimator is more precise.
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Li Yicong, Bar-Shalom Y. Trajectory and launch point estimation for ballistic missiles from boost phase LOS measurements. IEEE Aerospace Conference Proceedings, 1999, Vol. 4:425 - 442.[2]Danis J. Space-based tactical missile launch parameter estimation.IEEE Trans. onAES, 1993,29(2): 412 - 424.[3]李盾.空间预警系统对+目标的定位与预报.[博士论文],国防科技大学,2001年.[4]Taylor H. The Cramer-Rao estimation error lower bound computation for deterministic nonlinear systems. IEEE Trans. on AC, 1979, AC-24(2): 343 - 344. -
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