基于电离层延迟智能估计的完好性评估

taptap下载安装安卓学报 ›› 2025, Vol. 43 ›› Issue (1): 53-59.

• 航空通信与导航 • 上一篇 taptap点点手机网页

基于电离层延迟智能估计的完好性评估

卢丹，张宏健，钟伦珑，胡铁乔

taptap下载安装安卓电子信息与自动化学院，天津 300300

收稿日期:2023-03-29 修回日期:2023-06-01 出版日期:2025-04-09 发布日期:2025-04-09
作者简介:卢丹（1978— ），女，辽宁营口人，副教授，博士，研究方向为阵列信号处理、卫星导航
基金资助:
国家重点研发计划项目（2020YFB0505603）

Integrity evaluation based on intelligent estimation of ionospheric delay

LU Dan, ZHANG Hongjian, ZHONG Lunlong, HU Tieqiao

College of Electronic Information and Automation, CAUC, Tianjin 300300, China

Received:2023-03-29 Revised:2023-06-01 Online:2025-04-09 Published:2025-04-09

摘要/Abstract

摘要：

完好性是民用航空导航系统的性能要求之一，而电离层延迟是进行完好性评估的重要误差来源之一。对于

单频系统来说，通常采用 Klobuchar 模型对单频信号进行修正，但修正率仅为 60%左右，精度有限。本文提

出一种估算电离层延迟并将其用于完好性评估的方法，首先，通过反向传播（BP， back propagation）神经网

络对观测站电离层延迟进行训练，得到观测站的 BP 神经网络模型并计算电离层延迟，提高了观测站的电

离层延迟修正率；其次，利用经过训练的观测站 BP 神经网络模型以及三点插值法计算装备单频接收机的

航空器在其飞行位置的电离层延迟并进行完好性评估。以 2015 年 2—3 月的数据为例进行评估，结果表

明，通过 BP 神经网络模型以及三点插值法计算部分地区的电离层延迟与 Klobuchar 模型相比，计算电离层

延迟效果较好，提高了日间和夜间电离层延迟的修正率，从而提高了保护级的精度。

关键词:

电离层延迟, 完好性评估, Klobuchar 模型, BP 神经网络, 保护级

Abstract:

Integrity is one of the performance requirements of civil aviation navigation systems, and ionospheric delay is an

important error source for integrity evaluation. For the single-frequency system, Klobuchar model is usually used

to correct the single-frequency signal, but the correction rate is only about 60%, and the accuracy is limited. This

paper proposes a method for estimating ionospheric delay and using it for integrity evaluation. Firstly, the ionospheric delay of observation station is trained by back propagation (BP) neural network, and the ionospheric delay

is calculated by BP neural network model of the observation station, which improves the ionospheric delay correction rate of the observation station. Secondly, the ionospheric delay of the aircraft equipped with single-frequency

receiver at its flight position is calculated by using the trained observation station BP neural network model and the

three-point interpolation method, and the integrity evaluation is carried out. Evaluation based on the data from

February to March 2015 shows that, when calculating the ionospheric delay, the BP neural network model and the

three-point interpolation method perform better than the Klobuchar model in some areas. They improve the correction rates of ionospheric delay during both daytime and nighttime, thus enhancing the accuracy of the protection level.

Key words:

ionospheric delay, integrity evaluation, Klobuchar model, BP neural network, protection level

中图分类号:

P228

卢丹, 张宏健, 钟伦珑, 胡铁乔.

基于电离层延迟智能估计的完好性评估

[J]. taptap下载安装安卓学报, 2025, 43(1): 53-59.

LU Dan, ZHANG Hongjian, ZHONG Lunlong, HU Tieqiao.

Integrity evaluation based on intelligent estimation of ionospheric delay

[J]. Journal of Civil Aviation University of China, 2025, 43(1): 53-59.

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基于电离层延迟智能估计的完好性评估

Integrity evaluation based on intelligent estimation of ionospheric delay

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