The high-accuracy ionosphere correcting algorithm for GNSS signals based on kalman filter

Abstract

A filter-based algorithm for estimating the ionosphere error of the GNSS signals in the differential system is proposed in the paper. Based on the slow-varying characteristic of the ionosphere delay, the historical ionosphere delay data is involved in the algorithm. The measurement model is constructed according to the Grid Interpolation Model (GIM).The relevant analysis is conducted by the simulation and the corresponding results indicated that comparing with the traditional method, at least 60% promotion on the accuracy has been accomplished so that the algorithm in this paper can provide a more accurate estimation of the ionosphere error for GNSS signals.

An Improved Method of Ambiguity Resolution in GNSS Positioning

“…Fig.1. depicts the changes of the ionospheric error on carrier L 1 of satellite G16 of GPS [21] . It is calculated by data given by IGS (International GNSS Service) observed on January 1st, 2017.…”