Determination of Differential Code Bias of GNSS Receiver Onboard Low Earth Orbit Satellite
The uncertainty of differential code bias (DCB) is one of the main error sources in the low Earth orbit (LEO) based total electron content (TEC) retrieval, whereas the derivation of the LEO DCB is not systematically studied. In this paper, we propose an improved DCB estimation method (ZERO method) b...
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description | The uncertainty of differential code bias (DCB) is one of the main error sources in the low Earth orbit (LEO) based total electron content (TEC) retrieval, whereas the derivation of the LEO DCB is not systematically studied. In this paper, we propose an improved DCB estimation method (ZERO method) based on the assumption that the LEO-based TEC can reach zero and also optimize the parameter configuration in the commonly used least square method (LSQ method). In the improved ZERO method, the combination of the lower quartile minimum relative TEC during each orbital revolution with the daily minimum relative TEC gives a stable and reliable DCB estimation. For the LSQ method, the 3-TECU cutoff vertical TEC with 10° cutoff elevation is considered to offer a reasonable DCB estimation. Subsequently, Global Positioning System (GPS) observations from multiple LEO satellites at different altitudes are used to study the variability of the LEO DCBs. Our results revealed that the LEO DCBs underwent obvious long-term variation and periodic oscillations of months. Moreover, the CHAMP data illustrated that the long-term variation of LEO DCBs is partly associated with the GPS satellite replacement, and the periodic variation can be attributed to the variation of the hardware thermal status, represented by the receiver CPU temperature in this study. |
doi_str_mv | 10.1109/TGRS.2016.2552542 |
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In this paper, we propose an improved DCB estimation method (ZERO method) based on the assumption that the LEO-based TEC can reach zero and also optimize the parameter configuration in the commonly used least square method (LSQ method). In the improved ZERO method, the combination of the lower quartile minimum relative TEC during each orbital revolution with the daily minimum relative TEC gives a stable and reliable DCB estimation. For the LSQ method, the 3-TECU cutoff vertical TEC with 10° cutoff elevation is considered to offer a reasonable DCB estimation. Subsequently, Global Positioning System (GPS) observations from multiple LEO satellites at different altitudes are used to study the variability of the LEO DCBs. Our results revealed that the LEO DCBs underwent obvious long-term variation and periodic oscillations of months. Moreover, the CHAMP data illustrated that the long-term variation of LEO DCBs is partly associated with the GPS satellite replacement, and the periodic variation can be attributed to the variation of the hardware thermal status, represented by the receiver CPU temperature in this study.</description><identifier>ISSN: 0196-2892</identifier><identifier>EISSN: 1558-0644</identifier><identifier>DOI: 10.1109/TGRS.2016.2552542</identifier><identifier>CODEN: IGRSD2</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Bias ; Differential code bias (DCB) ; Estimation ; Global Navigation Satellite System (GNSS) ; Global Positioning System ; low Earth orbit (LEO) satellite ; Low earth orbit satellites ; Low earth orbits ; Orbitals ; Orbits ; Oscillations ; Receivers ; Satellite broadcasting ; Satellite navigation systems ; Satellites ; total electron content (TEC)</subject><ispartof>IEEE transactions on geoscience and remote sensing, 2016-08, Vol.54 (8), p.4896-4905</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2016</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-76e261acf0085f95d022bad6d1879c19ec3393b62f860afab59165f628d02e333</citedby><cites>FETCH-LOGICAL-c359t-76e261acf0085f95d022bad6d1879c19ec3393b62f860afab59165f628d02e333</cites><orcidid>0000-0002-4374-5083</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7464273$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>315,781,785,797,27929,27930,54763</link.rule.ids></links><search><creatorcontrib>Zhong, Jiahao</creatorcontrib><creatorcontrib>Lei, Jiuhou</creatorcontrib><creatorcontrib>Yue, Xinan</creatorcontrib><creatorcontrib>Dou, Xiankang</creatorcontrib><title>Determination of Differential Code Bias of GNSS Receiver Onboard Low Earth Orbit Satellite</title><title>IEEE transactions on geoscience and remote sensing</title><addtitle>TGRS</addtitle><description>The uncertainty of differential code bias (DCB) is one of the main error sources in the low Earth orbit (LEO) based total electron content (TEC) retrieval, whereas the derivation of the LEO DCB is not systematically studied. In this paper, we propose an improved DCB estimation method (ZERO method) based on the assumption that the LEO-based TEC can reach zero and also optimize the parameter configuration in the commonly used least square method (LSQ method). In the improved ZERO method, the combination of the lower quartile minimum relative TEC during each orbital revolution with the daily minimum relative TEC gives a stable and reliable DCB estimation. For the LSQ method, the 3-TECU cutoff vertical TEC with 10° cutoff elevation is considered to offer a reasonable DCB estimation. Subsequently, Global Positioning System (GPS) observations from multiple LEO satellites at different altitudes are used to study the variability of the LEO DCBs. Our results revealed that the LEO DCBs underwent obvious long-term variation and periodic oscillations of months. Moreover, the CHAMP data illustrated that the long-term variation of LEO DCBs is partly associated with the GPS satellite replacement, and the periodic variation can be attributed to the variation of the hardware thermal status, represented by the receiver CPU temperature in this study.</description><subject>Bias</subject><subject>Differential code bias (DCB)</subject><subject>Estimation</subject><subject>Global Navigation Satellite System (GNSS)</subject><subject>Global Positioning System</subject><subject>low Earth orbit (LEO) satellite</subject><subject>Low earth orbit satellites</subject><subject>Low earth orbits</subject><subject>Orbitals</subject><subject>Orbits</subject><subject>Oscillations</subject><subject>Receivers</subject><subject>Satellite broadcasting</subject><subject>Satellite navigation systems</subject><subject>Satellites</subject><subject>total electron content (TEC)</subject><issn>0196-2892</issn><issn>1558-0644</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><recordid>eNqNkbFOIzEQhi3ESRe4e4ATjSUamg0ee-1dl5BAQIouUpJrrrG8u2NhlKzBdkC8PRsFUVBRTTHfP5qZj5A_wMYATF-uZ8vVmDNQYy4llyU_IiOQsi6YKstjMmKgVcFrzX-Sk5QeGYNSQjUi_6eYMW59b7MPPQ2OTr1zGLHP3m7oJHRIr71N-87s72pFl9iif8FIF30TbOzoPLzSGxvzA13Exme6shk3G5_xF_nh7Cbh7496Sv7d3qwnd8V8MbufXM2LVkidi0ohV2Bbx1gtnZYd47yxneqgrnQLGlshtGgUd7Vi1tlGalDSKV4PJAohTsnFYe5TDM87TNlsfWqHHWyPYZcM1MM_hllKfgNltdJccxjQ8y_oY9jFfjjEQKWFKIEBHyg4UG0MKUV05in6rY1vBpjZizF7MWYvxnyIGTJnh4xHxE--KlXJKyHeAX-ahyE</recordid><startdate>201608</startdate><enddate>201608</enddate><creator>Zhong, Jiahao</creator><creator>Lei, Jiuhou</creator><creator>Yue, Xinan</creator><creator>Dou, Xiankang</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7UA</scope><scope>8FD</scope><scope>C1K</scope><scope>F1W</scope><scope>FR3</scope><scope>H8D</scope><scope>H96</scope><scope>KR7</scope><scope>L.G</scope><scope>L7M</scope><scope>7SP</scope><scope>F28</scope><orcidid>https://orcid.org/0000-0002-4374-5083</orcidid></search><sort><creationdate>201608</creationdate><title>Determination of Differential Code Bias of GNSS Receiver Onboard Low Earth Orbit Satellite</title><author>Zhong, Jiahao ; Lei, Jiuhou ; Yue, Xinan ; Dou, Xiankang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-76e261acf0085f95d022bad6d1879c19ec3393b62f860afab59165f628d02e333</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Bias</topic><topic>Differential code bias (DCB)</topic><topic>Estimation</topic><topic>Global Navigation Satellite System (GNSS)</topic><topic>Global Positioning System</topic><topic>low Earth orbit (LEO) satellite</topic><topic>Low earth orbit satellites</topic><topic>Low earth orbits</topic><topic>Orbitals</topic><topic>Orbits</topic><topic>Oscillations</topic><topic>Receivers</topic><topic>Satellite broadcasting</topic><topic>Satellite navigation systems</topic><topic>Satellites</topic><topic>total electron content (TEC)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Zhong, Jiahao</creatorcontrib><creatorcontrib>Lei, Jiuhou</creatorcontrib><creatorcontrib>Yue, Xinan</creatorcontrib><creatorcontrib>Dou, Xiankang</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Civil Engineering Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Electronics & Communications Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><jtitle>IEEE transactions on geoscience and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Zhong, Jiahao</au><au>Lei, Jiuhou</au><au>Yue, Xinan</au><au>Dou, Xiankang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Determination of Differential Code Bias of GNSS Receiver Onboard Low Earth Orbit Satellite</atitle><jtitle>IEEE transactions on geoscience and remote sensing</jtitle><stitle>TGRS</stitle><date>2016-08</date><risdate>2016</risdate><volume>54</volume><issue>8</issue><spage>4896</spage><epage>4905</epage><pages>4896-4905</pages><issn>0196-2892</issn><eissn>1558-0644</eissn><coden>IGRSD2</coden><abstract>The uncertainty of differential code bias (DCB) is one of the main error sources in the low Earth orbit (LEO) based total electron content (TEC) retrieval, whereas the derivation of the LEO DCB is not systematically studied. In this paper, we propose an improved DCB estimation method (ZERO method) based on the assumption that the LEO-based TEC can reach zero and also optimize the parameter configuration in the commonly used least square method (LSQ method). In the improved ZERO method, the combination of the lower quartile minimum relative TEC during each orbital revolution with the daily minimum relative TEC gives a stable and reliable DCB estimation. For the LSQ method, the 3-TECU cutoff vertical TEC with 10° cutoff elevation is considered to offer a reasonable DCB estimation. Subsequently, Global Positioning System (GPS) observations from multiple LEO satellites at different altitudes are used to study the variability of the LEO DCBs. Our results revealed that the LEO DCBs underwent obvious long-term variation and periodic oscillations of months. Moreover, the CHAMP data illustrated that the long-term variation of LEO DCBs is partly associated with the GPS satellite replacement, and the periodic variation can be attributed to the variation of the hardware thermal status, represented by the receiver CPU temperature in this study.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TGRS.2016.2552542</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-4374-5083</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Bias Differential code bias (DCB) Estimation Global Navigation Satellite System (GNSS) Global Positioning System low Earth orbit (LEO) satellite Low earth orbit satellites Low earth orbits Orbitals Orbits Oscillations Receivers Satellite broadcasting Satellite navigation systems Satellites total electron content (TEC) |
title | Determination of Differential Code Bias of GNSS Receiver Onboard Low Earth Orbit Satellite |
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