Published May 1, 2017 | Version v1
Journal article

Derivation of GPS TEC and receiver bias for Langkawi station in Malaysia

  • 1. Space Science Centre, Institute of Climate Change, Universiti Kebangsaan Malaysia, Malaysia. (Malaysia)
  • 2. General Education Center, Chien Hsin University of Science and Technology, Taiwan. (China)

Description

This paper presents the polynomial-type TEC model to derive total electron content (TEC) and receiver bias for Langkawi (LGKW) station in Malaysia at geographic latitude of 6.32° and longitude of 99.85°. The model uses a polynomial function of coordinates of the ionospheric piercing point to describe the TEC distribution in space. In the model, six polynomial coefficients and a receiver bias are unknown which can be solved by the least squares method. A reasonable agreement is achieved for the derivation of TEC and receiver bias for IENG station in Italy, as compared with that derived by the IGS analysis center, CODE. We process one year of LGKW data in 2010 and show the monthly receiver bias and the seasonal TEC variation. The monthly receiver bias varies between −48 and −24 TECu (1016 electrons/m2), with the mean value at −37 TECu. Large variations happen in the monthly receiver biases due to the low data coverage of high satellite elevation angle (60° < α ≤ 90°). Post-processing TEC approach is implemented which can resolve the wavy pattern of the monthly TEC baseline resulted from the large variation of the receiver bias. The seasonal TEC variation at LGKW exhibits a semi-annual variation, where the peak occurs during equinoctial months, and the trough during summer and winter months. (paper)

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/852/1/012018

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
852
Journal Issue
1
Journal Page Range
[6 p.]
ISSN
1742-6596

Conference

Title
2017 international conference on space science and communication
Dates
3-5 May 2017
Place
Kuala Lumpur (Malaysia)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
49029888
Subject category
S54: ENVIRONMENTAL SCIENCES;
Resource subtype / Literary indicator
Conference
Descriptors DEI
ANNUAL VARIATIONS; COMPARATIVE EVALUATIONS; COMPUTERIZED SIMULATION; COORDINATES; DISTRIBUTION; ELECTRONS; GLOBAL POSITIONING SYSTEM; LEAST SQUARE FIT; POLYNOMIALS; SATELLITES
Descriptors DEC
ELEMENTARY PARTICLES; EVALUATION; FERMIONS; FUNCTIONS; LEPTONS; MATHEMATICAL SOLUTIONS; MAXIMUM-LIKELIHOOD FIT; NUMERICAL SOLUTION; SIMULATION; VARIATIONS