首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于时间序列的航天器遥测数据预测算法
引用本文:闫谦时,崔广立.基于时间序列的航天器遥测数据预测算法[J].应用声学,2017,25(5):188-191.
作者姓名:闫谦时  崔广立
作者单位:西安工业大学 计算机科学与工程学院,西安 710021,西安工业大学 计算机科学与工程学院,西安 710021
摘    要:在航天器遥测数据预测领域,基于时间序列的预测方法有着广阔的应用前景;时间序列有一明显的特性就是记忆性,记忆性是指时间数列中的任一观测值的表现皆受到过去观测值影响;它的基本思想是根据观测数据的特点为数据建立尽可能合理的统计模型,利用模型的统计特性解释数据的统计规律,以期达到预报的目的;提出了采用模式识别和参数估计的方法,结合航天器遥测动态数据,建立关于航天器遥测数据的时序预测模型,对航天器遥测数据趋势进行检测和预报。

关 键 词:遥测数据  时间序列  预测  参数估计
收稿时间:2016/11/29 0:00:00
修稿时间:2017/1/5 0:00:00

Spacecraft Telemetry Data Prediction Algorithm Based on Time Series
Yan Qianshi and Cui Guangli.Spacecraft Telemetry Data Prediction Algorithm Based on Time Series[J].Applied Acoustics,2017,25(5):188-191.
Authors:Yan Qianshi and Cui Guangli
Institution:School of Computer Science and Engineering, Xi''an Technological University, Xi''an 710021, China and School of Computer Science and Engineering, Xi''an Technological University, Xi''an 710021, China
Abstract:The prediction method based on time series has broad application prospects in the field of spacecraft telemetry data prediction. One obvious characteristic of time series is memory, and memory is the performance of any observed value in the time series. The basic idea of this model is to establish the statistical model of the data according to the characteristics of the observation data, and to use the statistical characteristics of the model to explain the statistics of the data, so as to achieve the purpose of forecasting. The algorithm using pattern recognition and parameter estimation method, and combined with the spacecraft telemetry dynamic data, the establishment of spacecraft telemetry data time series prediction model, to detect and forecast the trend of the spacecraft telemetry data.
Keywords:telemetry data  time series  forecast  parameter estimation
点击此处可从《应用声学》浏览原始摘要信息
点击此处可从《应用声学》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号