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针对激光交会雷达测量方程的非线性问题,将容积滤波算法应用于航天器相对导航中;并考虑测量噪声统计特性不准确以及测量信息偏差等工程因素,针对激光交会雷达测量参数类型不同的特点,提出了一种基于容积滤波的自适应相对导航算法。该算法通过自适应调整量测协方差阵,能有效降低统计特性不准确等测量异常给导航系统造成的不利影响。仿真结果表明该自适应导航算法在激光交会雷达测量值存在噪声统计特性不准确等情况下时仍可保持较高的导航精度。
In view of the nonlinear problem of the laser intersection radar measurement equation, the volumetric filtering algorithm is applied to spacecraft relative navigation. Considering the engineering characteristics such as inaccuracy of measurement noise statistics and measurement information deviation, An adaptive relative navigation algorithm based on volume filtering is proposed. The algorithm adaptively adjusts the measurement covariance matrix, which can effectively reduce the adverse impact caused by the measurement anomalies on the navigation system, such as inaccuracies in statistics. The simulation results show that the adaptive navigation algorithm can still maintain high navigation accuracy when the laser crossover radar measurement noise value is not accurate.