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在对空间非合作目标天基测角卡尔曼滤波定轨中,目标机动会导致常规卡尔曼滤波器发散。提出一种无迹卡尔曼滤波(UKF)结合带次优渐消因子的无迹卡尔曼滤波(SFUKF)的滤波定轨方法,目标无机动时使用UKF,在目标机动时使用SFUKF,给出了目标机动的判断准则。仿真结果表明,此滤波方法在目标无机动时有较高的状态估计精度,在目标机动时滤波器不至于发散,目标机动的判别准则有效。
In space-based non-cooperative target space-based Kalman filter orbit determination, the target maneuver will cause the divergence of the conventional Kalman filter. An unscented Kalman filter (UKF) combined with unscented Kalman filter (SFUKF) with or without suboptimal fading factor is proposed. The method of the orbit determination is based on the UKF of the target without motion and the SFUKF of the target maneuver Target maneuver judgment criteria. The simulation results show that the proposed filtering method has higher state estimation accuracy when the target is not moving, the filter will not diverge when the target is maneuvering, and the criterion of target maneuver is valid.