Derivation of TEC and estimation of instrumental biases from GEONET in Japan
By Guanyi Ma, Takashi Maruyama. 2002
336 citations recorded by the source corpus.
Abstract. This paper presents a method to derive the ionospheric total electron content (TEC) and to estimate the biases of GPS satellites and dual frequency receivers using the GPS Earth Observation Network (GEONET) in Japan. Based on the consideration that the TEC is uniform in a small area, the method divides the ionosphere over Japan into 32 meshes. The size of each mesh is 2° by 2° in latitude and longitude, respectively. By assuming that the TEC is identical at any point within a given mesh and the biases do not vary within a day, the method arranges unknown TECs and biases with dual GPS data from about 209 receivers in a day unit into a set of equations. Then the TECs and the biases of satellites and receivers were determined by using the least-squares fitting technique. The performance of the method is examined by applying it to geomagnetically quiet days in various seasons, and then comparing the GPS-derived TEC with ionospheric critical frequencies (foF2). It is found that the biases of GPS satellites and most receivers are very stable. The diurnal and seasonal variation in TEC and foF2 shows a high degree of conformity. The method using a highly dense receiver network like GEONET is not always applicable in other areas. Thus, the paper also proposes a simpler and faster method to estimate a single receiver’s bias by using the satellite biases determined from GEONET. The accuracy of the simple method is examined by comparing the receiver biases determined by the two methods. Larger deviation from GEONET derived bias tends to be found in the receivers at lower ( Key words. Ionosphere (mid-latitude ionosphere; instruments and techniques) – Radio science (radio-wave propagation)
Subfields: Aerospace Engineering, Astronomy and Astrophysics, Geophysics
View Paper: https://www.semanticscholar.org/paper/0162ebd90c90e4fb48bc183b6f0fa6d5407c7019
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Aerospace Engineering
In Astronomy and Astrophysics
In Geophysics
Citations in the corpus
- A super bubble detected by dense GPS network at east Asian longitudes (2006, methodology): “Using around 300 GPS receivers selected homogeneously from GEONET, the TEC over Japan is calculated with a temporal resolution of 15-min and a spatial resolution of 2 2 in longitude and latitude [Ma and Maruyama, 2003].”