船载设备动态测量数据的建模与参数估计

Model Establishment and Parameter Estimation of Dynamic Data of Ship-borne Measurement Equipments

时间序列分析采用参数模型方式对动态数据进行分析与处理,通过对动态数据建立参数模型来获取动态数据的统计特性。对航天测量船外弹道测量数据,先采用3次B样条函数作为误差分离工具,分离出各测量元素的残差序列,然而运用时序模型选择方法、定阶准则及参数估计方法,为分离出的残差序列建立时间序列模型,确定各个残差序列的模型类型和阶数,估算出其系数,并对拟合结果作独立性检验。

Time sequence analysis method adopts parameter model to analyze and process dynamic data, or to obtain its statistics character by establishing parameter model for dynamic data. As to the dynamic data of TY＆C ship borne outer-trajectory measurement equipments, cubic B spline function is first used as an error separating tool to separate the residual sequence of every measurement element, then time sequence model selecting method, step determination rule and parameter estimation method are applied to establish time sequence model for the separated residual sequence as well as determine its model type and number of steps, calculate its coefficient and make an independence test for the fitting result.