Loading…
Traceability Model Design and Validation for Precipitation Radar
The propagating process of data chain of a large instrument is usually indicated by the traceability model. In this article, to enhance the measurement accuracy of the precipitation radar, the researchers proposed a traceability mode design scheme for the power measurement internal the precipitation...
Saved in:
Published in: | Sensors & transducers 2014-08, Vol.176 (8), p.70-70 |
---|---|
Main Authors: | , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | |
container_end_page | 70 |
container_issue | 8 |
container_start_page | 70 |
container_title | Sensors & transducers |
container_volume | 176 |
creator | Wang, Kairang Su, Donglin Zhao, Dangjun |
description | The propagating process of data chain of a large instrument is usually indicated by the traceability model. In this article, to enhance the measurement accuracy of the precipitation radar, the researchers proposed a traceability mode design scheme for the power measurement internal the precipitation radar, which is the key parameter relating to the precipitation measurement. Unlike the conventional internal calibration, they design three additional circuits, including temperature compensation, sectional amplification, auto-calibration power source, according to the traceability model. By introducing three internal detection points, the online soft-calibration data package is obtained by using internal power meters and the environmental sensors. According to the measured power information and the temperature information, the calibration data package provides the online calibration and the attenuation control. Practical internal calibration and real-time online measurement experiments are conducted to validate the design scheme. The experimental results reveal the traceability model design and corresponding soft calibration strategy can improve the reliability of the dynamical measurement data and the dynamical performance of the radar measurement. |
format | article |
fullrecord | <record><control><sourceid>proquest</sourceid><recordid>TN_cdi_proquest_miscellaneous_1620088509</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3439036121</sourcerecordid><originalsourceid>FETCH-LOGICAL-p619-d55b2feba11ddf1a389e92e885e5773b7c745c1ea68a08027cd0262a77124f963</originalsourceid><addsrcrecordid>eNpdjs1KxDAURoMoWMZ5h4AbN4WbtEmanTL-wogixW25bW4lQ2xq0y58ewvjalYfHA6H74xlwkidq9LYc5bJAnReKaEu2TalAwAIMMZKyNhtPWFH2Prg51_-Gh0Ffk_Jfw0cB8c_MXiHs48D7-PE3yfq_OjnI_lAh9MVu-gxJNr-74bVjw_17jnfvz297O72-aiFzZ1SreypRSGc6wUWlSUrqaoUKWOK1nSmVJ0g1BVCBdJ0DqSWaIyQZW91sWE3x-w4xZ-F0tx8-9RRCDhQXFIjtARYc2BX9fpEPcRlGtZzjVC6hLIEUMUfHkFTtQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1564044005</pqid></control><display><type>article</type><title>Traceability Model Design and Validation for Precipitation Radar</title><source>Publicly Available Content Database</source><source>IngentaConnect Journals</source><creator>Wang, Kairang ; Su, Donglin ; Zhao, Dangjun</creator><creatorcontrib>Wang, Kairang ; Su, Donglin ; Zhao, Dangjun</creatorcontrib><description>The propagating process of data chain of a large instrument is usually indicated by the traceability model. In this article, to enhance the measurement accuracy of the precipitation radar, the researchers proposed a traceability mode design scheme for the power measurement internal the precipitation radar, which is the key parameter relating to the precipitation measurement. Unlike the conventional internal calibration, they design three additional circuits, including temperature compensation, sectional amplification, auto-calibration power source, according to the traceability model. By introducing three internal detection points, the online soft-calibration data package is obtained by using internal power meters and the environmental sensors. According to the measured power information and the temperature information, the calibration data package provides the online calibration and the attenuation control. Practical internal calibration and real-time online measurement experiments are conducted to validate the design scheme. The experimental results reveal the traceability model design and corresponding soft calibration strategy can improve the reliability of the dynamical measurement data and the dynamical performance of the radar measurement.</description><identifier>ISSN: 2306-8515</identifier><identifier>EISSN: 1726-5479</identifier><language>eng</language><publisher>Toronto: IFSA Publishing, S.L</publisher><subject>Calibration ; Laboratories ; Online ; Packages ; Precipitation ; Radar ; Radar systems ; Receivers & amplifiers ; Sensors ; Software ; Temperature compensation ; Transducers</subject><ispartof>Sensors & transducers, 2014-08, Vol.176 (8), p.70-70</ispartof><rights>Copyright IFSA Publishing, S.L. Aug 2014</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1564044005/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1564044005?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,777,781,25734,36993,36994,44571,74875</link.rule.ids></links><search><creatorcontrib>Wang, Kairang</creatorcontrib><creatorcontrib>Su, Donglin</creatorcontrib><creatorcontrib>Zhao, Dangjun</creatorcontrib><title>Traceability Model Design and Validation for Precipitation Radar</title><title>Sensors & transducers</title><description>The propagating process of data chain of a large instrument is usually indicated by the traceability model. In this article, to enhance the measurement accuracy of the precipitation radar, the researchers proposed a traceability mode design scheme for the power measurement internal the precipitation radar, which is the key parameter relating to the precipitation measurement. Unlike the conventional internal calibration, they design three additional circuits, including temperature compensation, sectional amplification, auto-calibration power source, according to the traceability model. By introducing three internal detection points, the online soft-calibration data package is obtained by using internal power meters and the environmental sensors. According to the measured power information and the temperature information, the calibration data package provides the online calibration and the attenuation control. Practical internal calibration and real-time online measurement experiments are conducted to validate the design scheme. The experimental results reveal the traceability model design and corresponding soft calibration strategy can improve the reliability of the dynamical measurement data and the dynamical performance of the radar measurement.</description><subject>Calibration</subject><subject>Laboratories</subject><subject>Online</subject><subject>Packages</subject><subject>Precipitation</subject><subject>Radar</subject><subject>Radar systems</subject><subject>Receivers & amplifiers</subject><subject>Sensors</subject><subject>Software</subject><subject>Temperature compensation</subject><subject>Transducers</subject><issn>2306-8515</issn><issn>1726-5479</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><recordid>eNpdjs1KxDAURoMoWMZ5h4AbN4WbtEmanTL-wogixW25bW4lQ2xq0y58ewvjalYfHA6H74xlwkidq9LYc5bJAnReKaEu2TalAwAIMMZKyNhtPWFH2Prg51_-Gh0Ffk_Jfw0cB8c_MXiHs48D7-PE3yfq_OjnI_lAh9MVu-gxJNr-74bVjw_17jnfvz297O72-aiFzZ1SreypRSGc6wUWlSUrqaoUKWOK1nSmVJ0g1BVCBdJ0DqSWaIyQZW91sWE3x-w4xZ-F0tx8-9RRCDhQXFIjtARYc2BX9fpEPcRlGtZzjVC6hLIEUMUfHkFTtQ</recordid><startdate>20140801</startdate><enddate>20140801</enddate><creator>Wang, Kairang</creator><creator>Su, Donglin</creator><creator>Zhao, Dangjun</creator><general>IFSA Publishing, S.L</general><scope>3V.</scope><scope>4T-</scope><scope>4U-</scope><scope>7SP</scope><scope>7XB</scope><scope>88I</scope><scope>88K</scope><scope>8AL</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CLZPN</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L6V</scope><scope>L7M</scope><scope>M0N</scope><scope>M2P</scope><scope>M2T</scope><scope>M7S</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>Q9U</scope><scope>S0W</scope><scope>H8D</scope></search><sort><creationdate>20140801</creationdate><title>Traceability Model Design and Validation for Precipitation Radar</title><author>Wang, Kairang ; Su, Donglin ; Zhao, Dangjun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-p619-d55b2feba11ddf1a389e92e885e5773b7c745c1ea68a08027cd0262a77124f963</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Calibration</topic><topic>Laboratories</topic><topic>Online</topic><topic>Packages</topic><topic>Precipitation</topic><topic>Radar</topic><topic>Radar systems</topic><topic>Receivers & amplifiers</topic><topic>Sensors</topic><topic>Software</topic><topic>Temperature compensation</topic><topic>Transducers</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Kairang</creatorcontrib><creatorcontrib>Su, Donglin</creatorcontrib><creatorcontrib>Zhao, Dangjun</creatorcontrib><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>University Readers</collection><collection>Electronics & Communications Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>Telecommunications (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Databases</collection><collection>Continental Europe Database</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Latin America & Iberia Database</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computing Database</collection><collection>Science Database</collection><collection>Telecommunications Database</collection><collection>Engineering Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>ProQuest Central Basic</collection><collection>DELNET Engineering & Technology Collection</collection><collection>Aerospace Database</collection><jtitle>Sensors & transducers</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Kairang</au><au>Su, Donglin</au><au>Zhao, Dangjun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Traceability Model Design and Validation for Precipitation Radar</atitle><jtitle>Sensors & transducers</jtitle><date>2014-08-01</date><risdate>2014</risdate><volume>176</volume><issue>8</issue><spage>70</spage><epage>70</epage><pages>70-70</pages><issn>2306-8515</issn><eissn>1726-5479</eissn><abstract>The propagating process of data chain of a large instrument is usually indicated by the traceability model. In this article, to enhance the measurement accuracy of the precipitation radar, the researchers proposed a traceability mode design scheme for the power measurement internal the precipitation radar, which is the key parameter relating to the precipitation measurement. Unlike the conventional internal calibration, they design three additional circuits, including temperature compensation, sectional amplification, auto-calibration power source, according to the traceability model. By introducing three internal detection points, the online soft-calibration data package is obtained by using internal power meters and the environmental sensors. According to the measured power information and the temperature information, the calibration data package provides the online calibration and the attenuation control. Practical internal calibration and real-time online measurement experiments are conducted to validate the design scheme. The experimental results reveal the traceability model design and corresponding soft calibration strategy can improve the reliability of the dynamical measurement data and the dynamical performance of the radar measurement.</abstract><cop>Toronto</cop><pub>IFSA Publishing, S.L</pub><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2306-8515 |
ispartof | Sensors & transducers, 2014-08, Vol.176 (8), p.70-70 |
issn | 2306-8515 1726-5479 |
language | eng |
recordid | cdi_proquest_miscellaneous_1620088509 |
source | Publicly Available Content Database; IngentaConnect Journals |
subjects | Calibration Laboratories Online Packages Precipitation Radar Radar systems Receivers & amplifiers Sensors Software Temperature compensation Transducers |
title | Traceability Model Design and Validation for Precipitation Radar |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-18T21%3A16%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Traceability%20Model%20Design%20and%20Validation%20for%20Precipitation%20Radar&rft.jtitle=Sensors%20&%20transducers&rft.au=Wang,%20Kairang&rft.date=2014-08-01&rft.volume=176&rft.issue=8&rft.spage=70&rft.epage=70&rft.pages=70-70&rft.issn=2306-8515&rft.eissn=1726-5479&rft_id=info:doi/&rft_dat=%3Cproquest%3E3439036121%3C/proquest%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-p619-d55b2feba11ddf1a389e92e885e5773b7c745c1ea68a08027cd0262a77124f963%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1564044005&rft_id=info:pmid/&rfr_iscdi=true |