各种CHC NAV GNSS接收机模型的质量评估

Q4 Social Sciences International Journal of Geoinformatics Pub Date : 2023-06-10 DOI:10.52939/ijg.v19i5.2655
{"title":"各种CHC NAV GNSS接收机模型的质量评估","authors":"","doi":"10.52939/ijg.v19i5.2655","DOIUrl":null,"url":null,"abstract":"GNSS is utilized in numerous industries and applications to determine a location's (position and time). GNSS technology was quickly used for surveying because it can offer correct latitude, longitude, and height without establishing angles and distances. It's utilized worldwide in mapping and surveying. An ideal GNSS receiver for geodetic and other surveying applications must receive and monitor both code pseudo ranges and carrier phase signals, including the Y-codeless signal. Using geodetic equipment can offer the most accurate location data, but it depends on the instrument's quality. Choosing the proper equipment ensures trustworthy location data. Surveyors may pick cheap equipment caused by financial constraints. Does the data from different GNSS receiver brands have the same quality? By performing static observation on various GNSS receiver from CHC (i90, i83, i80, i73 and i70) key parameters are extracted from the data for data integrity assessment in terms of multipath, cycle slip, signal noise ratio, sky plot and others. CHC Geomatics Office 2 was used to extract the mentioned parameters for quality assessment. The two-day observation lasted from April 23 to April 25, 2022. (GPST). Data availability and data completeness are closely related criteria. For full potential analysis, receivers must be fully operating. No receiver has 100% data completeness or 24-hour data availability. Each receiver's data demonstrates that error varies by parameter. CHC i70 has the least multipath effect and CHC i80 the greatest. Overall, MP1 and MP2 multipath effects were below 0.5. CHC i70 had the lowest cycle slip ratio as it recorded the strongest signal strength while the greatest cycle slip ratio occurred to CHC i80. Each receiver's sky map exhibits the same pattern for both observation days, indicating they tracked the same satellite. Lastly, the average coordinates acquired either on various days or among the receivers indicates a maximum of 0.28m in vector displacement where it is appropriate to claim that each receiver received different coordinates since they were not locating on one place but adjacent within 1 meter radius. From the data analyzed, it is concluded that CHC i83 has best data quality among CHC models while CHC i80 obtained the worst data quality, but this does not indicate that model cannot provide good quality data.","PeriodicalId":38707,"journal":{"name":"International Journal of Geoinformatics","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Quality Assessment of Various CHC NAV GNSS Receiver Models\",\"authors\":\"\",\"doi\":\"10.52939/ijg.v19i5.2655\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"GNSS is utilized in numerous industries and applications to determine a location's (position and time). GNSS technology was quickly used for surveying because it can offer correct latitude, longitude, and height without establishing angles and distances. It's utilized worldwide in mapping and surveying. An ideal GNSS receiver for geodetic and other surveying applications must receive and monitor both code pseudo ranges and carrier phase signals, including the Y-codeless signal. Using geodetic equipment can offer the most accurate location data, but it depends on the instrument's quality. Choosing the proper equipment ensures trustworthy location data. Surveyors may pick cheap equipment caused by financial constraints. Does the data from different GNSS receiver brands have the same quality? By performing static observation on various GNSS receiver from CHC (i90, i83, i80, i73 and i70) key parameters are extracted from the data for data integrity assessment in terms of multipath, cycle slip, signal noise ratio, sky plot and others. CHC Geomatics Office 2 was used to extract the mentioned parameters for quality assessment. The two-day observation lasted from April 23 to April 25, 2022. (GPST). Data availability and data completeness are closely related criteria. For full potential analysis, receivers must be fully operating. No receiver has 100% data completeness or 24-hour data availability. Each receiver's data demonstrates that error varies by parameter. CHC i70 has the least multipath effect and CHC i80 the greatest. Overall, MP1 and MP2 multipath effects were below 0.5. CHC i70 had the lowest cycle slip ratio as it recorded the strongest signal strength while the greatest cycle slip ratio occurred to CHC i80. Each receiver's sky map exhibits the same pattern for both observation days, indicating they tracked the same satellite. Lastly, the average coordinates acquired either on various days or among the receivers indicates a maximum of 0.28m in vector displacement where it is appropriate to claim that each receiver received different coordinates since they were not locating on one place but adjacent within 1 meter radius. From the data analyzed, it is concluded that CHC i83 has best data quality among CHC models while CHC i80 obtained the worst data quality, but this does not indicate that model cannot provide good quality data.\",\"PeriodicalId\":38707,\"journal\":{\"name\":\"International Journal of Geoinformatics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Geoinformatics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52939/ijg.v19i5.2655\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Geoinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52939/ijg.v19i5.2655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

摘要

GNSS在许多行业和应用中用于确定位置(位置和时间)。GNSS技术很快被用于测量,因为它可以在不确定角度和距离的情况下提供正确的纬度、经度和高度。它在世界范围内用于制图和测量。用于大地测量和其他测量应用的理想GNSS接收器必须接收和监控代码伪距离和载波相位信号,包括y -无码信号。使用大地测量设备可以提供最准确的位置数据,但这取决于仪器的质量。选择合适的设备可以确保可靠的位置数据。测量员可能会因为财政拮据而选择便宜的设备。不同品牌GNSS接收机的数据质量是否相同?通过对CHC (i90、i83、i80、i73和i70)多个GNSS接收机进行静态观测,从数据中提取关键参数,从多径、周跳、信噪比、天空图等方面进行数据完整性评估。利用CHC Geomatics Office 2提取上述参数进行质量评价。为期两天的观测从2022年4月23日持续到4月25日。(GPST)。数据可用性和数据完整性是密切相关的标准。为了进行全电位分析,接收器必须完全工作。没有接收器具有100%的数据完整性或24小时数据可用性。每个接收器的数据表明,误差随参数的不同而变化。chci70的多径效应最小,chci80的多径效应最大。总体而言,MP1和MP2多径效应均低于0.5。chci70的周滑比最小,记录的信号强度最强,而chci80的周滑比最大。每个接收器的天空地图在两个观测日都显示出相同的模式,表明它们追踪的是同一颗卫星。最后,在不同日期或接收器之间获得的平均坐标表明矢量位移最大为0.28m,因此可以适当地声称每个接收器接收到不同的坐标,因为它们不是位于一个地方,而是在1米半径内相邻。从分析的数据来看,CHC i83在CHC模型中数据质量最好,CHC i80数据质量最差,但这并不意味着模型不能提供高质量的数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Quality Assessment of Various CHC NAV GNSS Receiver Models
GNSS is utilized in numerous industries and applications to determine a location's (position and time). GNSS technology was quickly used for surveying because it can offer correct latitude, longitude, and height without establishing angles and distances. It's utilized worldwide in mapping and surveying. An ideal GNSS receiver for geodetic and other surveying applications must receive and monitor both code pseudo ranges and carrier phase signals, including the Y-codeless signal. Using geodetic equipment can offer the most accurate location data, but it depends on the instrument's quality. Choosing the proper equipment ensures trustworthy location data. Surveyors may pick cheap equipment caused by financial constraints. Does the data from different GNSS receiver brands have the same quality? By performing static observation on various GNSS receiver from CHC (i90, i83, i80, i73 and i70) key parameters are extracted from the data for data integrity assessment in terms of multipath, cycle slip, signal noise ratio, sky plot and others. CHC Geomatics Office 2 was used to extract the mentioned parameters for quality assessment. The two-day observation lasted from April 23 to April 25, 2022. (GPST). Data availability and data completeness are closely related criteria. For full potential analysis, receivers must be fully operating. No receiver has 100% data completeness or 24-hour data availability. Each receiver's data demonstrates that error varies by parameter. CHC i70 has the least multipath effect and CHC i80 the greatest. Overall, MP1 and MP2 multipath effects were below 0.5. CHC i70 had the lowest cycle slip ratio as it recorded the strongest signal strength while the greatest cycle slip ratio occurred to CHC i80. Each receiver's sky map exhibits the same pattern for both observation days, indicating they tracked the same satellite. Lastly, the average coordinates acquired either on various days or among the receivers indicates a maximum of 0.28m in vector displacement where it is appropriate to claim that each receiver received different coordinates since they were not locating on one place but adjacent within 1 meter radius. From the data analyzed, it is concluded that CHC i83 has best data quality among CHC models while CHC i80 obtained the worst data quality, but this does not indicate that model cannot provide good quality data.
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
International Journal of Geoinformatics
International Journal of Geoinformatics Social Sciences-Geography, Planning and Development
CiteScore
1.00
自引率
0.00%
发文量
0
期刊最新文献
Quantifying Urban Expansion in Small Cities: A Case Study of the Al-Qassim Region, Saudi Arabia An Investigation of Soil Spectral Characteristics under Different Conditions in Jordan Generative Adversarial Networks in Healthcare Sector Optimal Locations of Municipal Solid Waste-to-Value-Added Conversion Facilities Using GIS Analysis: A Case Study in Mymensingh Division, Bangladesh Analysis of Hotel Distribution Patterns in Hail, Saudi Arabia, Using Geographic Information Systems (GIS)
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1