空间机动目标的跟踪和定位

轨道机动控制过程中，推力加速度的不确定性是机动目标运动的主项摄动。通过对推力加速度和机动目标运动建模，在地心惯性系建立了增广系统状态动力学模型，在地平测量坐标系建立了离散量测模型，同时讨论了机动目标增广状态非线性动力学模型的线性化问题。给出了扩展卡尔曼滤波实时估计增广状态向量的算法，仿真分析证明所述算法稳定、收敛，对机动目标具有较高的定位精度。

Tracking and Navigating Filter for Maneuvering Target

In view of the uncertainty of thrust acceleration, enormous error occurs in tracking and navigating maneuvering target during orbit transfer process. In this paper, three components of position and velocity with respect to ECI coordinate system are augmented with thrust acceleration to be augmented system states, whose dynamical equations and measure equations are developed in ECI frame, and a minimum variance filter for estimation of augmented system states is presented, and the issues on linearizing non linear augmented state equations are discussed in detail. Simulation results are employed to illustrate that the algorithm developed here can track and position maneuvering target in real time during orbit transfer process.