Research on time series modeling method for gyroscope random bias

Rong Chun Zang; Ping Yuan Cui

Research on time series modeling method for gyroscope random bias

Rong Chun Zang^*, Ping Yuan Cui

^*此作品的通讯作者

Harbin Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

12 引用（Scopus）

摘要

A residual self-tuning RELS algorithm is proposed to estimate ARMA parameters. Pseudo white noise was introduced to compensate for the error contributed by the unknown noise. DDS and AIC criterion are used for order selection. The result shows that the model established can reflect gyro drift tendency with reasonable accuracy.

源语言	英语
页（从-至）	1845-1847
页数	3
期刊	Xitong Fangzhen Xuebao / Journal of System Simulation
卷	17
期	8
出版状态	已出版 - 8月 2005
已对外发布	是

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title = "Research on time series modeling method for gyroscope random bias",

abstract = "A residual self-tuning RELS algorithm is proposed to estimate ARMA parameters. Pseudo white noise was introduced to compensate for the error contributed by the unknown noise. DDS and AIC criterion are used for order selection. The result shows that the model established can reflect gyro drift tendency with reasonable accuracy.",

keywords = "ARMA, Gyro drift, RELS, Time series analysis",

author = "Zang, {Rong Chun} and Cui, {Ping Yuan}",

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AU - Cui, Ping Yuan

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AB - A residual self-tuning RELS algorithm is proposed to estimate ARMA parameters. Pseudo white noise was introduced to compensate for the error contributed by the unknown noise. DDS and AIC criterion are used for order selection. The result shows that the model established can reflect gyro drift tendency with reasonable accuracy.

KW - ARMA

KW - Gyro drift

KW - RELS

KW - Time series analysis

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SN - 1004-731X

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Research on time series modeling method for gyroscope random bias

摘要

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