估算全球导航卫星系统 CORS 的最小可探测水平加速度

IF 0.5 4区 地球科学 Q4 GEOCHEMISTRY & GEOPHYSICS
Renan Rodrigues Toledo Costa, Ivandro Klein, Eliel Jessé Morais De Jesus Junior, Christian Gonzalo Pilapanta Amagua, Paulo Sergio De Oliveira Junior
{"title":"估算全球导航卫星系统 CORS 的最小可探测水平加速度","authors":"Renan Rodrigues Toledo Costa,&nbsp;Ivandro Klein,&nbsp;Eliel Jessé Morais De Jesus Junior,&nbsp;Christian Gonzalo Pilapanta Amagua,&nbsp;Paulo Sergio De Oliveira Junior","doi":"10.1007/s11200-023-0646-2","DOIUrl":null,"url":null,"abstract":"<div><p>Earth’s surface velocities are routinely extracted from Global Navigation Satellite System (GNSS) position time series. In addition to velocity estimates, acceleration may be a crucial parameter for modeling non-linear motion. Typically, a statistical hypothesis test is employed to evaluate the significance of the involved parameters and guide the selection of the appropriate model. In this contribution, we formulate a statistical test procedure from the generalized likelihood ratio test to analyze the significance of the acceleration in the model. The proposed procedure is compared with results obtained using the Akaike Information Criterion and Bayesian Information Criterion. Additionally, Minimal Detectable Horizontal Acceleration is provided as an indicator of the sensitivity of the acceleration detection. The GNSS time series of position estimates from the Nevada Geodetic Laboratory were used for this study. The experiments demonstrated a good agreement between the statistical test proposed and the information criteria approach. Therefore, the proposed statistical test may be another criterion to help the user in the important task of model selection.</p></div>","PeriodicalId":22001,"journal":{"name":"Studia Geophysica et Geodaetica","volume":null,"pages":null},"PeriodicalIF":0.5000,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Estimation of the minimal detectable horizontal acceleration of GNSS CORS\",\"authors\":\"Renan Rodrigues Toledo Costa,&nbsp;Ivandro Klein,&nbsp;Eliel Jessé Morais De Jesus Junior,&nbsp;Christian Gonzalo Pilapanta Amagua,&nbsp;Paulo Sergio De Oliveira Junior\",\"doi\":\"10.1007/s11200-023-0646-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Earth’s surface velocities are routinely extracted from Global Navigation Satellite System (GNSS) position time series. In addition to velocity estimates, acceleration may be a crucial parameter for modeling non-linear motion. Typically, a statistical hypothesis test is employed to evaluate the significance of the involved parameters and guide the selection of the appropriate model. In this contribution, we formulate a statistical test procedure from the generalized likelihood ratio test to analyze the significance of the acceleration in the model. The proposed procedure is compared with results obtained using the Akaike Information Criterion and Bayesian Information Criterion. Additionally, Minimal Detectable Horizontal Acceleration is provided as an indicator of the sensitivity of the acceleration detection. The GNSS time series of position estimates from the Nevada Geodetic Laboratory were used for this study. The experiments demonstrated a good agreement between the statistical test proposed and the information criteria approach. Therefore, the proposed statistical test may be another criterion to help the user in the important task of model selection.</p></div>\",\"PeriodicalId\":22001,\"journal\":{\"name\":\"Studia Geophysica et Geodaetica\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.5000,\"publicationDate\":\"2024-08-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Studia Geophysica et Geodaetica\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s11200-023-0646-2\",\"RegionNum\":4,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"GEOCHEMISTRY & GEOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Studia Geophysica et Geodaetica","FirstCategoryId":"89","ListUrlMain":"https://link.springer.com/article/10.1007/s11200-023-0646-2","RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GEOCHEMISTRY & GEOPHYSICS","Score":null,"Total":0}
引用次数: 0

摘要

地球表面速度通常是从全球导航卫星系统(GNSS)位置时间序列中提取的。除速度估计值外,加速度也可能是非线性运动建模的关键参数。通常情况下,采用统计假设检验来评估相关参数的重要性,并指导选择适当的模型。在本文中,我们从广义似然比检验中提出了一种统计检验程序,用于分析模型中加速度的显著性。建议的程序与使用 Akaike 信息准则和贝叶斯信息准则得出的结果进行了比较。此外,还提供了最小可检测水平加速度作为加速度检测灵敏度的指标。本研究使用了内华达大地测量实验室的全球导航卫星系统位置估计时间序列。实验结果表明,所提出的统计测试与信息标准方法之间具有良好的一致性。因此,提出的统计检验可能是帮助用户完成模型选择这一重要任务的另一个标准。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Estimation of the minimal detectable horizontal acceleration of GNSS CORS

Earth’s surface velocities are routinely extracted from Global Navigation Satellite System (GNSS) position time series. In addition to velocity estimates, acceleration may be a crucial parameter for modeling non-linear motion. Typically, a statistical hypothesis test is employed to evaluate the significance of the involved parameters and guide the selection of the appropriate model. In this contribution, we formulate a statistical test procedure from the generalized likelihood ratio test to analyze the significance of the acceleration in the model. The proposed procedure is compared with results obtained using the Akaike Information Criterion and Bayesian Information Criterion. Additionally, Minimal Detectable Horizontal Acceleration is provided as an indicator of the sensitivity of the acceleration detection. The GNSS time series of position estimates from the Nevada Geodetic Laboratory were used for this study. The experiments demonstrated a good agreement between the statistical test proposed and the information criteria approach. Therefore, the proposed statistical test may be another criterion to help the user in the important task of model selection.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Studia Geophysica et Geodaetica
Studia Geophysica et Geodaetica 地学-地球化学与地球物理
CiteScore
1.90
自引率
0.00%
发文量
8
审稿时长
6-12 weeks
期刊介绍: Studia geophysica et geodaetica is an international journal covering all aspects of geophysics, meteorology and climatology, and of geodesy. Published by the Institute of Geophysics of the Academy of Sciences of the Czech Republic, it has a long tradition, being published quarterly since 1956. Studia publishes theoretical and methodological contributions, which are of interest for academia as well as industry. The journal offers fast publication of contributions in regular as well as topical issues.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信