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基于相关系数AR模型的陀螺随机漂移分析方法
引用本文:刘成瑞,徐春,王治华. 基于相关系数AR模型的陀螺随机漂移分析方法[J]. 空间控制技术与应用, 2011, 37(4): 31-35. DOI: 10.3969/j.issn.1674-1579.2011.04.006
作者姓名:刘成瑞  徐春  王治华
作者单位:1. 北京控制工程研究所,北京,100190
2. 北京航空航天大学航空科学与工程学院,北京,100191
摘    要:陀螺漂移序列的均值和方差随时间不断变化,不属于传统的相关函数平稳序列,因此采用传统的平稳序列分析方法对其处理必然导致较大的误差.通过对大量陀螺漂移数据分析发现,大多数陀螺漂移序列的相关系数并不随时问的平移而变化,是时间间隔的单变量函数,因此,它们属于相关系数平稳序列.在此基础上,建立了基于相关系数AR模型的陀螺漂移分析方法.该方法首先对陀螺漂移数据是否属于相关系数平稳序列进行判别,然后采用相关系数AR模型建模并给出模型参数的估计方法,最后可根据得到的相关系数AR模型对陀螺漂移进行估计和补偿.由于相关系数平稳序列能够对陀螺漂移序列的本质特征进行描述,因此较传统方法具有更高的建模精度和补偿精度.

关 键 词:陀螺漂移  相关系数平稳序列  相关系数AR模型  建模

Analysis Method of Gyro Random Drift Based on Correlation Coefficient AR model
LIU Chengrui,XU Chun,WANG Zhihua. Analysis Method of Gyro Random Drift Based on Correlation Coefficient AR model[J]. Aerospace Contrd and Application, 2011, 37(4): 31-35. DOI: 10.3969/j.issn.1674-1579.2011.04.006
Authors:LIU Chengrui  XU Chun  WANG Zhihua
Affiliation:LIU Chengrui1,XU Chun1,WANG Zhihua2(1.Beijing Institute of Control Engineering,Beijing 100190,China,2.Institute of Solid Mechanics,Beijing University of Aeronautics and Astronautics,Beijing 100191,China)
Abstract:The gyro drift series does not belong to the traditional stationary time series because its means and variances vary with time generally.Therefore,analyzing the gyro drift series by means of the traditional stationary series method must bring large error.It is found that correlation coefficients of most gyroscope drift series don't vary with time and are just the function of time interval after a great amount of analysis of their statistical characteristics.Hence they belong to correlation coefficient stati...
Keywords:gyro drift  correlation coefficient stationary series  correlation coefficient AR model  modeling  
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