Analysis and modeling of GPS positioning error

Peng Du; Mengyin Fu; Hongye Zhang; Meiling Wang

Analysis and modeling of GPS positioning error

Peng Du^*, Mengyin Fu, Hongye Zhang, Meiling Wang

^*此作品的通讯作者

自动化学院

Beijing Institute of Technology

科研成果: 期刊稿件 › 文章 › 同行评审

4 引用（Scopus）

摘要

Aim: To determine the mathematical model of GPS positioning error data. Methods: Time series processing method was used to analyze the initial data, while period graph technique used in extracting the periodic error and Box-Jenkins method used in modeling the stable stochastic process. Results: The model can be used to improve the GPS positioning precision. Conclusion: The GPS positioning error belongs to unstable time series process, composed of periodic process and stable stochastic process. The most hidden-period existing in the periodic process is 10min and the stable stochastic process belongs to AR(1).

源语言	英语
页（从-至）	456-460
页数	5
期刊	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
卷	18
期	4
出版状态	已出版 - 1998

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链接到 Scopus 的出版物

引用此

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title = "Analysis and modeling of GPS positioning error",

abstract = "Aim: To determine the mathematical model of GPS positioning error data. Methods: Time series processing method was used to analyze the initial data, while period graph technique used in extracting the periodic error and Box-Jenkins method used in modeling the stable stochastic process. Results: The model can be used to improve the GPS positioning precision. Conclusion: The GPS positioning error belongs to unstable time series process, composed of periodic process and stable stochastic process. The most hidden-period existing in the periodic process is 10min and the stable stochastic process belongs to AR(1).",

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AU - Du, Peng

AU - Fu, Mengyin

AU - Zhang, Hongye

AU - Wang, Meiling

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N2 - Aim: To determine the mathematical model of GPS positioning error data. Methods: Time series processing method was used to analyze the initial data, while period graph technique used in extracting the periodic error and Box-Jenkins method used in modeling the stable stochastic process. Results: The model can be used to improve the GPS positioning precision. Conclusion: The GPS positioning error belongs to unstable time series process, composed of periodic process and stable stochastic process. The most hidden-period existing in the periodic process is 10min and the stable stochastic process belongs to AR(1).

AB - Aim: To determine the mathematical model of GPS positioning error data. Methods: Time series processing method was used to analyze the initial data, while period graph technique used in extracting the periodic error and Box-Jenkins method used in modeling the stable stochastic process. Results: The model can be used to improve the GPS positioning precision. Conclusion: The GPS positioning error belongs to unstable time series process, composed of periodic process and stable stochastic process. The most hidden-period existing in the periodic process is 10min and the stable stochastic process belongs to AR(1).

KW - Error model

KW - GPS (global positioning system)

KW - Time series

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Analysis and modeling of GPS positioning error

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