Time Sequence Modelling and Statistics Analysis for Complex Measurement Data

摘要：

In order to have an overall and objective knowledge about the working conditions of the measurement equipments onboard space tracking ship, it is necessary to give a comprehensive analysis of the observed data. Compared with land-based measurement data, those measured by shipboard tracking system have a more complicated producing process, and therefore influenced by more error sources. In this paper, time serial analyzing method is applied to solve the problem. Firstly, we apply cubic-B spline function as a separating tool to extract the residual sequence of each measurement element;Secondly, we use time sequence selecting method, order determination criterion and parameter estimation method to set a time sequence model for the extracted residual sequence, to determine its model type and model order as well as to estimate its coefficient;Finally an independence test for the fitting results is performed.

关键词： space tracking ship dynamic measurement at sea complex measurement data time sequence modelling parameter estimation statistics analysis criterion and test

作者: Xiaoyong Li Zhonghua Zhang Jianwei He Deyong Kang Guiming Chen Lei Yang

作者单位: China Satellite Maritime Tracking and Control Department,Jiangyin,Jiangsu,214431,China

会议类型: 国际会议

会议名称: The Third International Conference on Modelling and Simulation(第三届国际建模、计算、仿真、优化及其应用学术会议 ICMS 2010)

会议地点: 无锡

会议语种:英文

页码: 231-234

在线出版日期: 2010-06-04（万方平台首次上网日期，不代表论文的发表时间）