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

Cheng Gao; Dong Zhang; Hailiang Wang; Sheng Hong; Shuliang Gao; Zhigang Huang

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

机译：基于卡尔曼滤波器的高精度GNSS电离层校正算法

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References(5) Cited-By(1) 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.

机译：参考文献（5）Cited-By（1）提出了一种基于滤波器的差分系统GNSS信号电离层误差估计算法。基于电离层延迟的缓慢变化特性，该算法包含了历史电离层延迟数据。根据网格插值模型（GIM）构建了测量模型。通过仿真进行了相关分析，结果表明，与传统方法相比，精度至少提高了60％，从而使算法更加准确。本文可以为GNSS信号提供更准确的电离层误差估计。

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《IEICE Electronics Express》 |2011年第5期|共页
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Cheng Gao; Dong Zhang; Hailiang Wang; Sheng Hong; Shuliang Gao; Zhigang Huang;
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1. Adaptive Kalman filter based on variance component estimation for the prediction of ionospheric delay in aiding the cycle slip repair of GNSS triple-frequency signals [J] . Chang Guobin, Xu Tianhe, Yao Yifei, Journal of Geodesy . 2018,第11期

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2. An Ionosphere Correcting Algorithm for GNSS Signals Based on Observable Analysis [J] . GAO Shuliang, LI Rui, HUANG Zhigang 电子学报：英文版 . 2012,第001期

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4. Kalman Filter Based Robust GNSS Signal Tracking Algorithm in Presence of Ionospheric Scintillations [C] . Christophe MACABIAU, Lina DEAMBROGIO, Valentin BARREAU, International technical meeting of the Satellite Division of the Institute of Navigation . 2012

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

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