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为了适应多目标任务的测定轨需求,进一步提高测量船定轨的时效性,对时间序列最优定轨方法进行了研究,分析了定轨工作中涉及的飞行动力学模型,对序贯定轨的过程进行了贝叶斯统计描述。基于工程应用的可行性,采用扩展卡尔曼滤波方法和无迹滤波方法,并对两者进行了改进,在计算上采用平方根扩展卡尔曼滤波方法和平方根无迹滤波方法,在定轨模式上,采用一种新的混合定轨方法。改进后的方法在保持精度的基础上提高了滤波器时间更新效率,模拟数值计算和实战数据验证的结果表明,两种滤波定轨方法均能够在较短的时间内收敛,并达到预期的定轨精度。
In order to meet the demand of multi-objective task of measuring orbit, and further improve the timeliness of the orbit determination, the optimal orbit determination method of time-series is studied. The flight dynamics model involved in orbit determination is analyzed, Bayesian statistical description of the process. Based on the feasibility of engineering application, the extended Kalman filtering method and the unscented filtering method are adopted, and the two are improved. The square root extended Kalman filtering method and the square root root no-trace filtering method are used in calculation. In the orbit mode, A new hybrid orbit method is used. The improved method improves the filter time updating efficiency on the basis of maintaining the precision. The simulation results and actual data verification show that both the methods of orbit determination can both converge in a short time and reach the expected value Rail accuracy.