Generation of Klobuchar Ionospheric Error Model Coefficients Using Fourier Series and Accuracy Analysis

Ionospheric error modeling is necessary to create reliable global navigation satellite system (GNSS) signals using a GNSS simulator. In this paper we developed algorithms to generate Klobuchar coefficients αn, βn (n = 1, 2, 3, 4) for a GNSS simulator and verified accuracy of the algorithm. The eig...

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Bibliographic Details
Main Authors: Chang-Moon Lee, Kwan-Dong Park
Format: Article
Language:English
Published: The Korean Space Science Society 2011-03-01
Series:Journal of Astronomy and Space Sciences
Subjects:
Online Access:http://ocean.kisti.re.kr/downfile/volume/kosss/OJOOBS/2011/v28n1/OJOOBS_2011_v28n1_71.pdf
Description
Summary:Ionospheric error modeling is necessary to create reliable global navigation satellite system (GNSS) signals using a GNSS simulator. In this paper we developed algorithms to generate Klobuchar coefficients αn, βn (n = 1, 2, 3, 4) for a GNSS simulator and verified accuracy of the algorithm. The eight Klobuchar coefficients were extracted from three years of global positioning system broadcast (BRDC) messages provided by International GNSS service from 2006 through 2008 and were fitted with Fourier series. The generated coefficients from our developed algorithms are referred to as Fourier Klobuchar model (FOKM) coefficients, while those coefficients from BRDC massages are named as BRDC coefficients. The correlation coefficient values between FOKM and BRDC were higher than 0.97. We estimated total electron content using the Klobuchar model with FOKM coefficients and compared the result with that from the BRDC model. As a result, the maximum root mean square was 1.6 total electron content unit.
ISSN:2093-5587
2093-1409