A New Ionospheric Model for Single Frequency GNSS User Applications Using Klobuchar Model Driven by Auto Regressive Moving Average (SAKARMA) Method Over Indian Region

A New Ionospheric Model for Single Frequency GNSS User Applications Using Klobuchar Model Driven by Auto Regressive Moving Average (SAKARMA) Method Over Indian Region

The single-frequency users of Global Navigation Satellite System (GNSS) require an effective mathematical model that mitigate the dominant errors due to ionospheric delays. Klobuchar model approximately reduces ionospheric effect up to 50% through its coefficients in the navigation message, which is...

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Bibliographic Details
Main Authors: I. Lakshmi Mallika, D. Venkata Ratnam, Saravana Raman, Gampala Sivavaraprasad
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
GNSS
NavIC
ionospheric delay
Klobuchar model
auto regressive moving average (ARMA) model
SAKARMA model
Online Access:https://ieeexplore.ieee.org/document/9039612/

Internet

https://ieeexplore.ieee.org/document/9039612/

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