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基于多间距软件接收机的全球导航卫星系统差分码偏差(DCB)估计与分析

Estimation and Analysis of GNSS Differential Code Biases (DCBs) Using a Multi-Spacing Software Receiver.

作者信息

Wang Ye, Zhao Lin, Gao Yang

机构信息

College of Intelligent System Science and Engineering, Harbin Engineering University, Harbin 150001, China.

Department of Geomatics Engineering, University of Calgary, Calagry, AB T2N 1N4, Canada.

出版信息

Sensors (Basel). 2021 Jan 10;21(2):443. doi: 10.3390/s21020443.

DOI:10.3390/s21020443
PMID:33435141
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7827713/
Abstract

In the use of global navigation satellite systems (GNSS) to monitor ionosphere variations by estimating total electron content (TEC), differential code biases (DCBs) in GNSS measurements are a primary source of errors. Satellite DCBs are currently estimated and broadcast to users by International GNSS Service (IGS) using a network of GNSS hardware receivers which are inside structure fixed. We propose an approach for satellite DCB estimation using a multi-spacing GNSS software receiver to analyze the influence of the correlator spacing on satellite DCB estimates and estimate satellite DCBs based on different correlator spacing observations from the software receiver. This software receiver-based approach is called multi-spacing DCB (MSDCB) estimation. In the software receiver approach, GNSS observations with different correlator spacings from intermediate frequency datasets can be generated. Since each correlator spacing allows the software receiver to output observations like a local GNSS receiver station, GNSS observations from different correlator spacings constitute a network of GNSS receivers, which makes it possible to use a single software receiver to estimate satellite DCBs. By comparing the MSDCBs to the IGS DCB products, the results show that the proposed correlator spacing flexible software receiver is able to predict satellite DCBs with increased flexibility and cost-effectiveness than the current hardware receiver-based DCB estimation approach.

摘要

在利用全球导航卫星系统(GNSS)通过估计总电子含量(TEC)来监测电离层变化的过程中,GNSS测量中的差分码偏差(DCB)是误差的主要来源。目前,国际GNSS服务组织(IGS)使用固定在建筑物内部的GNSS硬件接收机网络来估计卫星DCB并将其广播给用户。我们提出了一种利用多间隔GNSS软件接收机进行卫星DCB估计的方法,以分析相关器间隔对卫星DCB估计的影响,并基于软件接收机不同相关器间隔的观测值来估计卫星DCB。这种基于软件接收机的方法被称为多间隔DCB(MSDCB)估计。在软件接收机方法中,可以从中频数据集中生成具有不同相关器间隔的GNSS观测值。由于每个相关器间隔都能使软件接收机像本地GNSS接收站一样输出观测值,来自不同相关器间隔的GNSS观测值构成了一个GNSS接收机网络,这使得使用单个软件接收机来估计卫星DCB成为可能。通过将MSDCB与IGS DCB产品进行比较,结果表明,所提出的具有灵活相关器间隔的软件接收机能够以比当前基于硬件接收机的DCB估计方法更高的灵活性和成本效益来预测卫星DCB。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/4bdab0b15022/sensors-21-00443-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/2b911136c786/sensors-21-00443-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/743c05a3e575/sensors-21-00443-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/7d677e9b6f6e/sensors-21-00443-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/b0700dacc0f1/sensors-21-00443-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/50d5088b8717/sensors-21-00443-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/42481a0bd092/sensors-21-00443-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/3f1aa8d3c9fb/sensors-21-00443-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/380216495137/sensors-21-00443-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/4bdab0b15022/sensors-21-00443-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/2b911136c786/sensors-21-00443-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/743c05a3e575/sensors-21-00443-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/7d677e9b6f6e/sensors-21-00443-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/b0700dacc0f1/sensors-21-00443-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/50d5088b8717/sensors-21-00443-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/42481a0bd092/sensors-21-00443-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/3f1aa8d3c9fb/sensors-21-00443-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/380216495137/sensors-21-00443-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e95/7827713/4bdab0b15022/sensors-21-00443-g009.jpg

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本文引用的文献

1
An Approach to Speed up Single-Frequency PPP Convergence with Quad-Constellation GNSS and GIM.一种利用四星系统全球导航卫星系统和全球电离层图加速单频精密单点定位收敛的方法。
Sensors (Basel). 2017 Jun 6;17(6):1302. doi: 10.3390/s17061302.
2
The Impact of Satellite Time Group Delay and Inter-Frequency Differential Code Bias Corrections on Multi-GNSS Combined Positioning.卫星时间群延迟和频率间差分码偏差校正对多全球导航卫星系统组合定位的影响
Sensors (Basel). 2017 Mar 16;17(3):602. doi: 10.3390/s17030602.