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

^*Corresponding author for this work

School of Automation

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

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).

Original language	English
Pages (from-to)	456-460
Number of pages	5
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	18
Issue number	4
Publication status	Published - 1998

Keywords

Error model
GPS (global positioning system)
Time series

Cite this

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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).",

keywords = "Error model, GPS (global positioning system), Time series",

author = "Peng Du and Mengyin Fu and Hongye Zhang and Meiling Wang",

year = "1998",

language = "English",

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TY - JOUR

T1 - Analysis and modeling of GPS positioning error

AU - Du, Peng

AU - Fu, Mengyin

AU - Zhang, Hongye

AU - Wang, Meiling

PY - 1998

Y1 - 1998

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

UR - https://www.scopus.com/pages/publications/33847115562

M3 - Article

AN - SCOPUS:33847115562

SN - 1001-0645

VL - 18

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EP - 460

JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - 4

ER -

Analysis and modeling of GPS positioning error

Abstract

Keywords

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