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MUSIC for localization of thunderstorm cells
Lightning represents an event detectable optically, electrically, and acoustically, and several systems are already in place to monitor such activity. Unfortunately, such detection of lightning can occur too late, since operations need to be protected in advance of the first lightning strike. Additi...
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container_end_page | 990 vol.2 |
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creator | Mosher, J.C. Rynne, T.M. Lewis, P.S. |
description | Lightning represents an event detectable optically, electrically, and acoustically, and several systems are already in place to monitor such activity. Unfortunately, such detection of lightning can occur too late, since operations need to be protected in advance of the first lightning strike. Additionally, the bolt itself can traverse several kilometers before striking the ground leaving a large region of uncertainty, as to the center of the storm and its possible strike regions. NASA Kennedy Space Center has in place an array of electric field mills that monitor the (effectively) DC electric field. Prior to the first lightning strike, the surface electric fields rise as the storm generator within a thundercloud begins charging. Extending methods developed for an analogous source localization problem in magnetoencephalography, the authors present Cramer-Rao lower bounds and MUSIC scans for fitting a point-charge source model to the electric field mill data. Such techniques can allow for the identification and localization of charge centers in cloud structures.< > |
doi_str_mv | 10.1109/ACSSC.1993.342422 |
format | conference_proceeding |
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Unfortunately, such detection of lightning can occur too late, since operations need to be protected in advance of the first lightning strike. Additionally, the bolt itself can traverse several kilometers before striking the ground leaving a large region of uncertainty, as to the center of the storm and its possible strike regions. NASA Kennedy Space Center has in place an array of electric field mills that monitor the (effectively) DC electric field. Prior to the first lightning strike, the surface electric fields rise as the storm generator within a thundercloud begins charging. Extending methods developed for an analogous source localization problem in magnetoencephalography, the authors present Cramer-Rao lower bounds and MUSIC scans for fitting a point-charge source model to the electric field mill data. Such techniques can allow for the identification and localization of charge centers in cloud structures.< ></description><identifier>ISSN: 1058-6393</identifier><identifier>ISBN: 0818641207</identifier><identifier>ISBN: 9780818641206</identifier><identifier>EISSN: 2576-2303</identifier><identifier>DOI: 10.1109/ACSSC.1993.342422</identifier><language>eng</language><publisher>IEEE Comput. Soc. Press</publisher><subject>Acoustic signal detection ; Event detection ; Fasteners ; Lightning ; Milling machines ; Monitoring ; Multiple signal classification ; Optical detectors ; Protection ; Storms</subject><ispartof>Proceedings of 27th Asilomar Conference on Signals, Systems and Computers, 1993, p.986-990 vol.2</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/342422$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54555,54920,54932</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/342422$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Mosher, J.C.</creatorcontrib><creatorcontrib>Rynne, T.M.</creatorcontrib><creatorcontrib>Lewis, P.S.</creatorcontrib><title>MUSIC for localization of thunderstorm cells</title><title>Proceedings of 27th Asilomar Conference on Signals, Systems and Computers</title><addtitle>ACSSC</addtitle><description>Lightning represents an event detectable optically, electrically, and acoustically, and several systems are already in place to monitor such activity. Unfortunately, such detection of lightning can occur too late, since operations need to be protected in advance of the first lightning strike. Additionally, the bolt itself can traverse several kilometers before striking the ground leaving a large region of uncertainty, as to the center of the storm and its possible strike regions. NASA Kennedy Space Center has in place an array of electric field mills that monitor the (effectively) DC electric field. Prior to the first lightning strike, the surface electric fields rise as the storm generator within a thundercloud begins charging. Extending methods developed for an analogous source localization problem in magnetoencephalography, the authors present Cramer-Rao lower bounds and MUSIC scans for fitting a point-charge source model to the electric field mill data. Such techniques can allow for the identification and localization of charge centers in cloud structures.< ></description><subject>Acoustic signal detection</subject><subject>Event detection</subject><subject>Fasteners</subject><subject>Lightning</subject><subject>Milling machines</subject><subject>Monitoring</subject><subject>Multiple signal classification</subject><subject>Optical detectors</subject><subject>Protection</subject><subject>Storms</subject><issn>1058-6393</issn><issn>2576-2303</issn><isbn>0818641207</isbn><isbn>9780818641206</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1993</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><recordid>eNotj8tOwzAURC0eEqH0A2CVDyDh2jd-LSuLQqUiFqHryji2MHJr5IQFfD2RymxmczQ6Q8gthZZS0A8r0_empVpjix3rGDsjFeNSNAwBz8k1KKpERxnIC1JR4KoRqPGKLMfxE-Z0nCrgFbl_2fUbU4dc6pSdTfHXTjEf6xzq6eP7OPgyTrkcaudTGm_IZbBp9Mv_XpDd-vHNPDfb16eNWW2byCifGovWKS5RaQ0yaIcgbHCDCGDB-cFKRHzng-4c83K2cqBQeyk0dzNrB1yQu9Nu9N7vv0o82PKzP_3EP-cWQ7Y</recordid><startdate>1993</startdate><enddate>1993</enddate><creator>Mosher, J.C.</creator><creator>Rynne, T.M.</creator><creator>Lewis, P.S.</creator><general>IEEE Comput. Soc. Press</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>1993</creationdate><title>MUSIC for localization of thunderstorm cells</title><author>Mosher, J.C. ; Rynne, T.M. ; Lewis, P.S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i215t-a3ac857389907f9c306afcd6f0a0ceda7333b5d94c2e7393c0839e7695cc30ad3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1993</creationdate><topic>Acoustic signal detection</topic><topic>Event detection</topic><topic>Fasteners</topic><topic>Lightning</topic><topic>Milling machines</topic><topic>Monitoring</topic><topic>Multiple signal classification</topic><topic>Optical detectors</topic><topic>Protection</topic><topic>Storms</topic><toplevel>online_resources</toplevel><creatorcontrib>Mosher, J.C.</creatorcontrib><creatorcontrib>Rynne, T.M.</creatorcontrib><creatorcontrib>Lewis, P.S.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Xplore</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mosher, J.C.</au><au>Rynne, T.M.</au><au>Lewis, P.S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>MUSIC for localization of thunderstorm cells</atitle><btitle>Proceedings of 27th Asilomar Conference on Signals, Systems and Computers</btitle><stitle>ACSSC</stitle><date>1993</date><risdate>1993</risdate><spage>986</spage><epage>990 vol.2</epage><pages>986-990 vol.2</pages><issn>1058-6393</issn><eissn>2576-2303</eissn><isbn>0818641207</isbn><isbn>9780818641206</isbn><abstract>Lightning represents an event detectable optically, electrically, and acoustically, and several systems are already in place to monitor such activity. Unfortunately, such detection of lightning can occur too late, since operations need to be protected in advance of the first lightning strike. Additionally, the bolt itself can traverse several kilometers before striking the ground leaving a large region of uncertainty, as to the center of the storm and its possible strike regions. NASA Kennedy Space Center has in place an array of electric field mills that monitor the (effectively) DC electric field. Prior to the first lightning strike, the surface electric fields rise as the storm generator within a thundercloud begins charging. Extending methods developed for an analogous source localization problem in magnetoencephalography, the authors present Cramer-Rao lower bounds and MUSIC scans for fitting a point-charge source model to the electric field mill data. Such techniques can allow for the identification and localization of charge centers in cloud structures.< ></abstract><pub>IEEE Comput. Soc. Press</pub><doi>10.1109/ACSSC.1993.342422</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext_linktorsrc |
identifier | ISSN: 1058-6393 |
ispartof | Proceedings of 27th Asilomar Conference on Signals, Systems and Computers, 1993, p.986-990 vol.2 |
issn | 1058-6393 2576-2303 |
language | eng |
recordid | cdi_ieee_primary_342422 |
source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Acoustic signal detection Event detection Fasteners Lightning Milling machines Monitoring Multiple signal classification Optical detectors Protection Storms |
title | MUSIC for localization of thunderstorm cells |
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