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飞行器轨道机动过程中 ,为跟踪、定位机动目标和干预机动控制过程 ,需要统计处理离散的雷达观测量实时估计推进发动机的推力 ,进而确定飞行器的瞬时轨道参数。本文所述算法是该工程问题的探讨和解决方案。文章建立了轨道机动过程中连续变质量运动模型和离散雷达量测模型 ,推进发动机的质量秒耗量作为表征推力加速度的一个近似常量 ,应用扩展卡尔曼滤波对离散的雷达测量数据进行顺序统计处理给出秒耗量的最小方差估计 ;文章详细地推导了线性化量测模型的变分方程和观测矩阵 ;仿真结果表明该算法能快速、准确地估计推进发动机的质量秒耗量和向机动目标施加的实际推力
In order to track and locate the maneuvering target and intervene in the maneuvering control process of the orbit maneuver, it is necessary to statistically process the discrete radar observations and estimate in real time the thrust of the propelling engine so as to determine the instantaneous orbit parameters of the aircraft. The algorithm described in this article is a discussion and solution to the engineering problem. In this paper, continuous variable mass motion model and discrete radar measurement model are established in orbit maneuvering process. The mass second consumption of propulsion engine is used as an approximate constant to characterize the thrust acceleration, and the extended Kalman filter is applied to the sequential statistical processing of discrete radar measurement data The minimum variance estimation of the second consumption is given. The variational equation and the observation matrix of the linearized measurement model are deduced in detail. The simulation results show that the algorithm can estimate the mass second consumption of the propulsion engine quickly and accurately, The actual thrust applied