摘要
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。
To satisfy the requirement of multi-target launch mission and improve the time performance of orbit determination of spacecraft for TT＆C ship, new sequential optimal estimation methods are proposed and studied. The dynamic process model in spacecraft orbit determination is analyzed, and a Bayesian description for the Markov process is described. For the engineering application of theoretical models, improved methods SR-EKF and SR-ULF based on two typical nonlinear filters are proposed. Furthermore, a new hybrid orbit determination model is adopted which utilizes both high precision numerical propagator and high speed analytical propagator. The simulation and historical measurement data verification shows that both filters have achieved the expected accuracy, speed and convergence.
出处
《电讯技术》
北大核心
2013年第2期177-181,共5页
Telecommunication Engineering
基金
国家高技术研究发展计划(863计划)项目~~
关键词
测量船
最优轨道确定
平方根扩展卡尔曼滤波
平方根无迹滤波
TT＆C ship
real-time orbit determination
square root extended Kalman filter
square root unscented Kalman filter
