摘要
该文针对LEO星载GNSS简化动力法定轨中的力学模型不准确问题,讨论了以伪随机脉冲作为经验加速度的优化方法,实现力学模型偏差的补偿:首先,讨论了LEO星载GNSS定轨中经验加速度估计与定轨精度的制约关系,针对伪随机脉冲经验加速度估计优化问题,设计迭代逼近的方法,确定伪随机脉冲参数估计频度及约束条件。然后,以JASON-1实测星载GNSS数据为例,说明伪随机脉冲经验加速度优化的步骤和过程,并确定该卫星优化估计策略和定轨性能。
Consideration inaccuracy of mechanical model for LEO reduced-dynamic orbit determination,this paper discusses optimization method that attempt to adopt pseudo-random-impulse as one of empirical acceleration to compensate it.Firstly,the effects of strategy for pseudo-random-impulse empirical acceleration estimation and accuracy of orbit determined based on GNSS data is discussed.In order to achieve the optimal strategy,which induced optimal estimation frequency and constraints for pseudo-random impulse,an iterative approximation method is designed.Finally,experiments are performed based on JASON-1 GNSS data to illustrate the phase of optimization method and the optimal strategy is got.
作者
薛光辉
盛传贞
Xue Guang-hui;Sheng Chuan-zhen(The 54th Research Institute of China Electronics Technology Group Corporation,Hebei Shijiazhuang 050081)
出处
《电子质量》
2020年第7期119-124,共6页
Electronics Quality
基金
基于少量地面控制源的多层高动态空间信息网络的时空基准研究(91638203)
室内混合智能定位于室内GIS资助项目(2016YFB0502100)联合资助。
关键词
优化方法
策略优化
简化动力学定轨
伪随机脉冲
力学模型偏差
Optimization Method
Strategy Optimization
Reduced-dynamic orbit determination
Pseudo-Random Impulse
Mechanical Model Biases
