Detection and Localization of Multiple Emitters in Multipath Environments
This study addresses the problem of detection and localization of multiple emitters with an antenna array in a multi-path environment. Here, MUSIC with spatial smoothing is applied to resolve all possible propagation paths of incident signals. Those possible paths are the angles corresponding to the...
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| creator | Sarac, U. Harmanci, F.K. Akgul, T. |
| description | This study addresses the problem of detection and localization of multiple emitters with an antenna array in a multi-path environment. Here, MUSIC with spatial smoothing is applied to resolve all possible propagation paths of incident signals. Those possible paths are the angles corresponding to the peaks of the MUSIC pseudospectrum. The time signals of these paths are then separated with MVBF (minimum variance beamforming) corresponding to the assigned angles. Finally, the correlation of each of these time signals is calculated to decide whether they correspond to the same emitter or not. In this way the number of emitters and their AOA (angle of arrival) are estimated. Finally, the performance analysis of this method is also presented via simulation |
| doi_str_mv | 10.1109/SIU.2006.1659752 |
| format | Conference Proceeding |
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Finally, the performance analysis of this method is also presented via simulation</description><identifier>ISSN: 2165-0608</identifier><identifier>ISBN: 1424402387</identifier><identifier>ISBN: 9781424402380</identifier><identifier>EISSN: 2693-3616</identifier><identifier>DOI: 10.1109/SIU.2006.1659752</identifier><language>eng</language><publisher>IEEE</publisher><subject>Antenna arrays ; Antennas and propagation ; Array signal processing ; GSM ; IEL ; Multiple signal classification ; Performance analysis ; Signal resolution ; Smoothing methods ; Spatial resolution</subject><ispartof>2006 IEEE 14th Signal Processing and Communications Applications, 2006, p.1-4</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1659752$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,777,781,786,787,2052,4036,4037,27906,54901</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1659752$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Sarac, U.</creatorcontrib><creatorcontrib>Harmanci, F.K.</creatorcontrib><creatorcontrib>Akgul, T.</creatorcontrib><title>Detection and Localization of Multiple Emitters in Multipath Environments</title><title>2006 IEEE 14th Signal Processing and Communications Applications</title><addtitle>SIU</addtitle><description>This study addresses the problem of detection and localization of multiple emitters with an antenna array in a multi-path environment. Here, MUSIC with spatial smoothing is applied to resolve all possible propagation paths of incident signals. Those possible paths are the angles corresponding to the peaks of the MUSIC pseudospectrum. The time signals of these paths are then separated with MVBF (minimum variance beamforming) corresponding to the assigned angles. Finally, the correlation of each of these time signals is calculated to decide whether they correspond to the same emitter or not. In this way the number of emitters and their AOA (angle of arrival) are estimated. Finally, the performance analysis of this method is also presented via simulation</description><subject>Antenna arrays</subject><subject>Antennas and propagation</subject><subject>Array signal processing</subject><subject>GSM</subject><subject>IEL</subject><subject>Multiple signal classification</subject><subject>Performance analysis</subject><subject>Signal resolution</subject><subject>Smoothing methods</subject><subject>Spatial resolution</subject><issn>2165-0608</issn><issn>2693-3616</issn><isbn>1424402387</isbn><isbn>9781424402380</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2006</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNp9jksLgkAYRYce0Mt90Gb-gDYvx1yXkVCrai2DfdKEjuJMQf36JFx3NxfOuYuL0JKSgFISr8_pNWCEyIDKMI5CNkBTJmPuc0nlEM2oYEIQxjfRqBPdxieSbCbIs_ZBuohQcM6mKN2Bg9zp2mBlbvhY56rUH_UDdYFPz9LppgScVNo5aC3WpofK3XFiXrqtTQXG2QUaF6q04PU9R6t9ctkefA0AWdPqSrXvrH_L_9svMyJACw</recordid><startdate>2006</startdate><enddate>2006</enddate><creator>Sarac, U.</creator><creator>Harmanci, F.K.</creator><creator>Akgul, T.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2006</creationdate><title>Detection and Localization of Multiple Emitters in Multipath Environments</title><author>Sarac, U. ; Harmanci, F.K. ; Akgul, T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_16597523</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Antenna arrays</topic><topic>Antennas and propagation</topic><topic>Array signal processing</topic><topic>GSM</topic><topic>IEL</topic><topic>Multiple signal classification</topic><topic>Performance analysis</topic><topic>Signal resolution</topic><topic>Smoothing methods</topic><topic>Spatial resolution</topic><toplevel>online_resources</toplevel><creatorcontrib>Sarac, U.</creatorcontrib><creatorcontrib>Harmanci, F.K.</creatorcontrib><creatorcontrib>Akgul, T.</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/IET Electronic Library</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>Sarac, U.</au><au>Harmanci, F.K.</au><au>Akgul, T.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Detection and Localization of Multiple Emitters in Multipath Environments</atitle><btitle>2006 IEEE 14th Signal Processing and Communications Applications</btitle><stitle>SIU</stitle><date>2006</date><risdate>2006</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><issn>2165-0608</issn><eissn>2693-3616</eissn><isbn>1424402387</isbn><isbn>9781424402380</isbn><abstract>This study addresses the problem of detection and localization of multiple emitters with an antenna array in a multi-path environment. Here, MUSIC with spatial smoothing is applied to resolve all possible propagation paths of incident signals. Those possible paths are the angles corresponding to the peaks of the MUSIC pseudospectrum. The time signals of these paths are then separated with MVBF (minimum variance beamforming) corresponding to the assigned angles. Finally, the correlation of each of these time signals is calculated to decide whether they correspond to the same emitter or not. In this way the number of emitters and their AOA (angle of arrival) are estimated. Finally, the performance analysis of this method is also presented via simulation</abstract><pub>IEEE</pub><doi>10.1109/SIU.2006.1659752</doi></addata></record> |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Antenna arrays Antennas and propagation Array signal processing GSM IEL Multiple signal classification Performance analysis Signal resolution Smoothing methods Spatial resolution |
| title | Detection and Localization of Multiple Emitters in Multipath Environments |
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