Loading…
Accelerate the Time-Reversal Computing of Lightning Location Using GPU and Phase-Difference Filter
Time-reversal (TR) technique has been proved to be an effective method to locate the lightning sources, which could get much more accurate results and is capable of finding the weak radiation sources. However, the huge amount of calculation makes it not meet the fast localization requirement of the...
Saved in:
Published in: | IEEE transactions on electromagnetic compatibility 2023-04, Vol.65 (2), p.496-506 |
---|---|
Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c245t-e9d86b504fb770a33a18598758f4e2f8a8ce3f06e8375fcbca0d18ed52452f93 |
container_end_page | 506 |
container_issue | 2 |
container_start_page | 496 |
container_title | IEEE transactions on electromagnetic compatibility |
container_volume | 65 |
creator | Du, Shuang-Jiang Shi, Li-Hua Liu, Yi-Cheng Qiu, Shi |
description | Time-reversal (TR) technique has been proved to be an effective method to locate the lightning sources, which could get much more accurate results and is capable of finding the weak radiation sources. However, the huge amount of calculation makes it not meet the fast localization requirement of the lightning map array. To accelerate the localization speed of TR, this article proposes to use graphics processing unit (GPU) parallel computing and shared memory to calculate the radiation source directions. Then, the phase difference is combined with TR to filter out the less relevant direction points thus to further speed up the computation. Finally, as for the real lightning data received by the antennas, not every sliding window contains the radiation signals during the TR calculation, we use the signal-interference energy ratio to judge whether a sliding window has the radiation signal, thus, we only need to calculate the windows of which the ratios are above the threshold. Experiments show that, in simulation, by using the first two skills, the computing speed is greatly improved by more than 1700 times than a single CPU serial computing; in 500 ms real lightning data localization, our method is 263 times faster than the original CPU methods, meanwhile, the location result is as good as the latter. |
doi_str_mv | 10.1109/TEMC.2022.3226470 |
format | article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2803039433</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9982494</ieee_id><sourcerecordid>2803039433</sourcerecordid><originalsourceid>FETCH-LOGICAL-c245t-e9d86b504fb770a33a18598758f4e2f8a8ce3f06e8375fcbca0d18ed52452f93</originalsourceid><addsrcrecordid>eNo9kF1LwzAUhoMoOKc_QLwJeN2Zj2ZNL8fcplBxSAfehTQ92TK6diaZ4L-3ZeLV4YX3g_MgdE_JhFKSP5WLt_mEEcYmnLFpmpELNKJCyITK7PMSjQihMsl5Jq7RTQj7XqaC8RGqZsZAA15HwHEHuHQHSD7gG3zQDZ53h-MpunaLO4sLt93FdhBFZ3R0XYs3YZCr9QbrtsbrnQ6QPDtrwUNrAC9dE8HfoiurmwB3f3eMyuWinL8kxfvqdT4rEsNSERPIazmtBEltlWVEc66pFLnMhLQpMCu1NMAtmYLsv7CmMprUVEIt-jSzOR-jx3Pt0XdfJwhR7buTb_tFxSThhOcp572Lnl3GdyF4sOro3UH7H0WJGkiqgaQaSKo_kn3m4ZxxAPDvz3PJ0r7zF_0obxs</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2803039433</pqid></control><display><type>article</type><title>Accelerate the Time-Reversal Computing of Lightning Location Using GPU and Phase-Difference Filter</title><source>IEEE Xplore (Online service)</source><creator>Du, Shuang-Jiang ; Shi, Li-Hua ; Liu, Yi-Cheng ; Qiu, Shi</creator><creatorcontrib>Du, Shuang-Jiang ; Shi, Li-Hua ; Liu, Yi-Cheng ; Qiu, Shi</creatorcontrib><description>Time-reversal (TR) technique has been proved to be an effective method to locate the lightning sources, which could get much more accurate results and is capable of finding the weak radiation sources. However, the huge amount of calculation makes it not meet the fast localization requirement of the lightning map array. To accelerate the localization speed of TR, this article proposes to use graphics processing unit (GPU) parallel computing and shared memory to calculate the radiation source directions. Then, the phase difference is combined with TR to filter out the less relevant direction points thus to further speed up the computation. Finally, as for the real lightning data received by the antennas, not every sliding window contains the radiation signals during the TR calculation, we use the signal-interference energy ratio to judge whether a sliding window has the radiation signal, thus, we only need to calculate the windows of which the ratios are above the threshold. Experiments show that, in simulation, by using the first two skills, the computing speed is greatly improved by more than 1700 times than a single CPU serial computing; in 500 ms real lightning data localization, our method is 263 times faster than the original CPU methods, meanwhile, the location result is as good as the latter.</description><identifier>ISSN: 0018-9375</identifier><identifier>EISSN: 1558-187X</identifier><identifier>DOI: 10.1109/TEMC.2022.3226470</identifier><identifier>CODEN: IEMCAE</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Antenna arrays ; Central processing units ; CPUs ; Directive antennas ; Energy ratio ; Frequency-domain analysis ; graphics processing unit (GPU) ; Graphics processing units ; Lightning ; lightning location ; Localization ; Location awareness ; Mathematical analysis ; phase difference ; Radiation ; Radiation sources ; Receiving antennas ; Sliding ; time reversal (TR)</subject><ispartof>IEEE transactions on electromagnetic compatibility, 2023-04, Vol.65 (2), p.496-506</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c245t-e9d86b504fb770a33a18598758f4e2f8a8ce3f06e8375fcbca0d18ed52452f93</cites><orcidid>0000-0002-8922-809X ; 0000-0003-0097-3876 ; 0000-0002-9282-7595 ; 0000-0002-6501-9613</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9982494$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Du, Shuang-Jiang</creatorcontrib><creatorcontrib>Shi, Li-Hua</creatorcontrib><creatorcontrib>Liu, Yi-Cheng</creatorcontrib><creatorcontrib>Qiu, Shi</creatorcontrib><title>Accelerate the Time-Reversal Computing of Lightning Location Using GPU and Phase-Difference Filter</title><title>IEEE transactions on electromagnetic compatibility</title><addtitle>TEMC</addtitle><description>Time-reversal (TR) technique has been proved to be an effective method to locate the lightning sources, which could get much more accurate results and is capable of finding the weak radiation sources. However, the huge amount of calculation makes it not meet the fast localization requirement of the lightning map array. To accelerate the localization speed of TR, this article proposes to use graphics processing unit (GPU) parallel computing and shared memory to calculate the radiation source directions. Then, the phase difference is combined with TR to filter out the less relevant direction points thus to further speed up the computation. Finally, as for the real lightning data received by the antennas, not every sliding window contains the radiation signals during the TR calculation, we use the signal-interference energy ratio to judge whether a sliding window has the radiation signal, thus, we only need to calculate the windows of which the ratios are above the threshold. Experiments show that, in simulation, by using the first two skills, the computing speed is greatly improved by more than 1700 times than a single CPU serial computing; in 500 ms real lightning data localization, our method is 263 times faster than the original CPU methods, meanwhile, the location result is as good as the latter.</description><subject>Antenna arrays</subject><subject>Central processing units</subject><subject>CPUs</subject><subject>Directive antennas</subject><subject>Energy ratio</subject><subject>Frequency-domain analysis</subject><subject>graphics processing unit (GPU)</subject><subject>Graphics processing units</subject><subject>Lightning</subject><subject>lightning location</subject><subject>Localization</subject><subject>Location awareness</subject><subject>Mathematical analysis</subject><subject>phase difference</subject><subject>Radiation</subject><subject>Radiation sources</subject><subject>Receiving antennas</subject><subject>Sliding</subject><subject>time reversal (TR)</subject><issn>0018-9375</issn><issn>1558-187X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNo9kF1LwzAUhoMoOKc_QLwJeN2Zj2ZNL8fcplBxSAfehTQ92TK6diaZ4L-3ZeLV4YX3g_MgdE_JhFKSP5WLt_mEEcYmnLFpmpELNKJCyITK7PMSjQihMsl5Jq7RTQj7XqaC8RGqZsZAA15HwHEHuHQHSD7gG3zQDZ53h-MpunaLO4sLt93FdhBFZ3R0XYs3YZCr9QbrtsbrnQ6QPDtrwUNrAC9dE8HfoiurmwB3f3eMyuWinL8kxfvqdT4rEsNSERPIazmtBEltlWVEc66pFLnMhLQpMCu1NMAtmYLsv7CmMprUVEIt-jSzOR-jx3Pt0XdfJwhR7buTb_tFxSThhOcp572Lnl3GdyF4sOro3UH7H0WJGkiqgaQaSKo_kn3m4ZxxAPDvz3PJ0r7zF_0obxs</recordid><startdate>20230401</startdate><enddate>20230401</enddate><creator>Du, Shuang-Jiang</creator><creator>Shi, Li-Hua</creator><creator>Liu, Yi-Cheng</creator><creator>Qiu, Shi</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><orcidid>https://orcid.org/0000-0002-8922-809X</orcidid><orcidid>https://orcid.org/0000-0003-0097-3876</orcidid><orcidid>https://orcid.org/0000-0002-9282-7595</orcidid><orcidid>https://orcid.org/0000-0002-6501-9613</orcidid></search><sort><creationdate>20230401</creationdate><title>Accelerate the Time-Reversal Computing of Lightning Location Using GPU and Phase-Difference Filter</title><author>Du, Shuang-Jiang ; Shi, Li-Hua ; Liu, Yi-Cheng ; Qiu, Shi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c245t-e9d86b504fb770a33a18598758f4e2f8a8ce3f06e8375fcbca0d18ed52452f93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Antenna arrays</topic><topic>Central processing units</topic><topic>CPUs</topic><topic>Directive antennas</topic><topic>Energy ratio</topic><topic>Frequency-domain analysis</topic><topic>graphics processing unit (GPU)</topic><topic>Graphics processing units</topic><topic>Lightning</topic><topic>lightning location</topic><topic>Localization</topic><topic>Location awareness</topic><topic>Mathematical analysis</topic><topic>phase difference</topic><topic>Radiation</topic><topic>Radiation sources</topic><topic>Receiving antennas</topic><topic>Sliding</topic><topic>time reversal (TR)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Du, Shuang-Jiang</creatorcontrib><creatorcontrib>Shi, Li-Hua</creatorcontrib><creatorcontrib>Liu, Yi-Cheng</creatorcontrib><creatorcontrib>Qiu, Shi</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE/IET Electronic Library</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on electromagnetic compatibility</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Du, Shuang-Jiang</au><au>Shi, Li-Hua</au><au>Liu, Yi-Cheng</au><au>Qiu, Shi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Accelerate the Time-Reversal Computing of Lightning Location Using GPU and Phase-Difference Filter</atitle><jtitle>IEEE transactions on electromagnetic compatibility</jtitle><stitle>TEMC</stitle><date>2023-04-01</date><risdate>2023</risdate><volume>65</volume><issue>2</issue><spage>496</spage><epage>506</epage><pages>496-506</pages><issn>0018-9375</issn><eissn>1558-187X</eissn><coden>IEMCAE</coden><abstract>Time-reversal (TR) technique has been proved to be an effective method to locate the lightning sources, which could get much more accurate results and is capable of finding the weak radiation sources. However, the huge amount of calculation makes it not meet the fast localization requirement of the lightning map array. To accelerate the localization speed of TR, this article proposes to use graphics processing unit (GPU) parallel computing and shared memory to calculate the radiation source directions. Then, the phase difference is combined with TR to filter out the less relevant direction points thus to further speed up the computation. Finally, as for the real lightning data received by the antennas, not every sliding window contains the radiation signals during the TR calculation, we use the signal-interference energy ratio to judge whether a sliding window has the radiation signal, thus, we only need to calculate the windows of which the ratios are above the threshold. Experiments show that, in simulation, by using the first two skills, the computing speed is greatly improved by more than 1700 times than a single CPU serial computing; in 500 ms real lightning data localization, our method is 263 times faster than the original CPU methods, meanwhile, the location result is as good as the latter.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TEMC.2022.3226470</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-8922-809X</orcidid><orcidid>https://orcid.org/0000-0003-0097-3876</orcidid><orcidid>https://orcid.org/0000-0002-9282-7595</orcidid><orcidid>https://orcid.org/0000-0002-6501-9613</orcidid></addata></record> |
fulltext | fulltext |
identifier | ISSN: 0018-9375 |
ispartof | IEEE transactions on electromagnetic compatibility, 2023-04, Vol.65 (2), p.496-506 |
issn | 0018-9375 1558-187X |
language | eng |
recordid | cdi_proquest_journals_2803039433 |
source | IEEE Xplore (Online service) |
subjects | Antenna arrays Central processing units CPUs Directive antennas Energy ratio Frequency-domain analysis graphics processing unit (GPU) Graphics processing units Lightning lightning location Localization Location awareness Mathematical analysis phase difference Radiation Radiation sources Receiving antennas Sliding time reversal (TR) |
title | Accelerate the Time-Reversal Computing of Lightning Location Using GPU and Phase-Difference Filter |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T23%3A18%3A10IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Accelerate%20the%20Time-Reversal%20Computing%20of%20Lightning%20Location%20Using%20GPU%20and%20Phase-Difference%20Filter&rft.jtitle=IEEE%20transactions%20on%20electromagnetic%20compatibility&rft.au=Du,%20Shuang-Jiang&rft.date=2023-04-01&rft.volume=65&rft.issue=2&rft.spage=496&rft.epage=506&rft.pages=496-506&rft.issn=0018-9375&rft.eissn=1558-187X&rft.coden=IEMCAE&rft_id=info:doi/10.1109/TEMC.2022.3226470&rft_dat=%3Cproquest_cross%3E2803039433%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c245t-e9d86b504fb770a33a18598758f4e2f8a8ce3f06e8375fcbca0d18ed52452f93%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2803039433&rft_id=info:pmid/&rft_ieee_id=9982494&rfr_iscdi=true |