The effect of 2D & 3D ionospheric model in interfrequency bias estimation

  • Sohn, Kyoung-Ho (School of Mechanical and Aerospace Engineering, Seoul Nat'l Univ.) ;
  • Kim, Do-Yoon (School of Mechanical and Aerospace Engineering, Seoul Nat'l Univ.) ;
  • Kee, Chang-Don (School of Mechanical and Aerospace Engineering, Seoul Nat'l Univ.) ;
  • Rho, Hyun-Ho (University of New Brunswick) ;
  • Langley, Richard (University of New Brunswick)
  • Published : 2006.10.18

Abstract

The radio signal in GNSS was intentionally designed with two frequencies in order to combat the dispersion error caused by trans-ionospheric propagation. By measuring the path delay independently at the two, widely spaced GPS frequencies, L1 & L2, the TEC along the path from satellite to receiver can be measured directly. The issue with dual frequency measurement of the ionosphere is the calibration of L1/L2 interfrequency biases. L1/L2 interfrequency biases are generated because physical electric signal paths of L1 and L2 circuits are different from each other for both satellites and receiver. Conventionally L1/L2 interfrequency bias is estimated and broadcasted by 2D ionospheric model. In this paper, we estimated IFB (interfrequency bias) by 2D & 3D ionospheric models including real time filter methods and compared the result of those and concluded the merit of 3D tomography model to recover the problem of 2D thin shell model. We confirmed our conclusion by experimental data.

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