Study on Model of Gross Error Identification for GPS Dynamic Deformation Data Based on Wavelet Analysis

Author

Xipan, Li ; Anbing, Zhang ; Jing, Hu

Author_Institution

Hebei Univ. of Eng., Handan, China

Volume

2

fYear

2010

fDate

4-6 June 2010

Firstpage

13

Lastpage

16

Abstract

This article describes the basic principles of the wavelet analysis technology for GPS deformation signal processing. According to the basic property of wavelet function, combined example of GPS deformation signal that contain a small amount of gross errors, this article studies the display law of characteristics of gross errors in different scales after wavelet transform and the problem how we determine its location. This paper analyzes the influences of regularity and the number of decomposed layers when we want to identify the gross errors in the dynamic monitoring data. This research has provided basis for selecting proper wavelet function to identify gross errors.

Keywords

Global Positioning System; signal processing; wavelet transforms; GPS deformation signal processing; GPS dynamic deformation data; dynamic monitoring data; gross error identification; wavelet analysis; Algorithm design and analysis; Computer errors; Continuous wavelet transforms; Deformable models; Global Positioning System; Information analysis; Monitoring; Signal analysis; Wavelet analysis; Wavelet transforms; dynamic deformation; gross error identification; modeling; wavelet analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Information and Computing (ICIC), 2010 Third International Conference on

Conference_Location

Wuxi, Jiang Su

Print_ISBN

978-1-4244-7081-5

Electronic_ISBN

978-1-4244-7082-2

Type

conf

DOI

10.1109/ICIC.2010.97

Filename

5514111