基于自适应卡尔曼滤波的机动目标自主轨道确定

The Application of Adaptive Kalman Filter for the Autonomous Orbit Determination of Maneuver Target

用自适应卡尔曼滤波法对非合作机动目标进行轨道确定,通过实时计算观测星的状态转移矩阵,近似描述目标星的状态变化并获得两星体相对位置。算法中用自适应卡尔曼滤波辨识噪声,通过极大似然法选择噪声修正模型。仿真结果表明:该法可有效用于对椭圆轨道非合作机动目标的自主轨道确定。

An adaptive Kalman filter was used to determine the orbit of a non-cooperative maneuver target in this paper.The state change of the target was given approximately by the calculation of the state transfer matrix of the observation satellite to the target satellite in time,and the relative parameters were acquired also.The noise was recognized by adaptive Kalman filter,and the noise correction model was selected by maximum-likelihood method.The simulation results showed that this algorithm could be applied i...