A New Detection Method for MIMO Radar Using Hidden Markov Model
MIMO radar is a new radar technique developed recently. It can achieve better detection performance than conventional phased radar. Based on the scattering statistic of clutter and man-made target, we propose that hidden Markov models (HMM) can be used to model the clutter and target signals, and th...
Gespeichert in:
| Hauptverfasser: | , , , |
|---|---|
| Format: | Tagungsbericht |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 343 |
|---|---|
| container_issue | |
| container_start_page | 341 |
| container_title | |
| container_volume | 2 |
| creator | Zeng Jiankui Xiang Lijuan Dong Zhiming Yuan Shangzun |
| description | MIMO radar is a new radar technique developed recently. It can achieve better detection performance than conventional phased radar. Based on the scattering statistic of clutter and man-made target, we propose that hidden Markov models (HMM) can be used to model the clutter and target signals, and that the HMMs can be used to detect target. Simulation results verify its efficiency. |
| doi_str_mv | 10.1109/ICCMS.2010.179 |
| format | Conference Proceeding |
| fullrecord | <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_5421066</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>5421066</ieee_id><sourcerecordid>5421066</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-bfd0f6b8e1b9cff24aaabbc2f4bb8a5ad60d2a13b53d9f29b9acd94425c380c83</originalsourceid><addsrcrecordid>eNpVjEtLw0AUhUekoNZs3biZP5B6585MkllJiY8WGgta1-XOS0drI0lQ_PdGdOPZHD74zmHsTMBMCDAXy7puHmYIP1yaA5aZshIKldKFkuXhP0aYsBMEMGZcojliWd-_wBilEbQ8Zpdzfhc--VUYghtSu-dNGJ5bz2Pb8WbZrPk9eer4Y5_2T3yRvA-jQt1r-8Gb1ofdKZtE2vUh--sp29xcb-pFvlrfLuv5Kk8GhtxGD7GwVRDWuBhREZG1DqOytiJNvgCPJKTV0puIxhpy3iiF2skKXCWn7Pz3NoUQtu9deqPua6sVCigK-Q293kuP</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>A New Detection Method for MIMO Radar Using Hidden Markov Model</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Zeng Jiankui ; Xiang Lijuan ; Dong Zhiming ; Yuan Shangzun</creator><creatorcontrib>Zeng Jiankui ; Xiang Lijuan ; Dong Zhiming ; Yuan Shangzun</creatorcontrib><description>MIMO radar is a new radar technique developed recently. It can achieve better detection performance than conventional phased radar. Based on the scattering statistic of clutter and man-made target, we propose that hidden Markov models (HMM) can be used to model the clutter and target signals, and that the HMMs can be used to detect target. Simulation results verify its efficiency.</description><identifier>ISBN: 9781424456420</identifier><identifier>ISBN: 1424456428</identifier><identifier>EISBN: 9781424456437</identifier><identifier>EISBN: 1424456436</identifier><identifier>DOI: 10.1109/ICCMS.2010.179</identifier><identifier>LCCN: 2009910929</identifier><language>eng</language><publisher>IEEE</publisher><subject>Anisotropic magnetoresistance ; Clutter ; detection ; Hidden Markov models ; HMM ; MIMO ; MIMO radar ; Radar antennas ; Radar detection ; Radar scattering ; Receiving antennas ; Statistics ; Stochastic processes</subject><ispartof>2010 Second International Conference on Computer Modeling and Simulation, 2010, Vol.2, p.341-343</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/5421066$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,776,780,785,786,2052,27902,54895</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5421066$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Zeng Jiankui</creatorcontrib><creatorcontrib>Xiang Lijuan</creatorcontrib><creatorcontrib>Dong Zhiming</creatorcontrib><creatorcontrib>Yuan Shangzun</creatorcontrib><title>A New Detection Method for MIMO Radar Using Hidden Markov Model</title><title>2010 Second International Conference on Computer Modeling and Simulation</title><addtitle>ICCMS</addtitle><description>MIMO radar is a new radar technique developed recently. It can achieve better detection performance than conventional phased radar. Based on the scattering statistic of clutter and man-made target, we propose that hidden Markov models (HMM) can be used to model the clutter and target signals, and that the HMMs can be used to detect target. Simulation results verify its efficiency.</description><subject>Anisotropic magnetoresistance</subject><subject>Clutter</subject><subject>detection</subject><subject>Hidden Markov models</subject><subject>HMM</subject><subject>MIMO</subject><subject>MIMO radar</subject><subject>Radar antennas</subject><subject>Radar detection</subject><subject>Radar scattering</subject><subject>Receiving antennas</subject><subject>Statistics</subject><subject>Stochastic processes</subject><isbn>9781424456420</isbn><isbn>1424456428</isbn><isbn>9781424456437</isbn><isbn>1424456436</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVjEtLw0AUhUekoNZs3biZP5B6585MkllJiY8WGgta1-XOS0drI0lQ_PdGdOPZHD74zmHsTMBMCDAXy7puHmYIP1yaA5aZshIKldKFkuXhP0aYsBMEMGZcojliWd-_wBilEbQ8Zpdzfhc--VUYghtSu-dNGJ5bz2Pb8WbZrPk9eer4Y5_2T3yRvA-jQt1r-8Gb1ofdKZtE2vUh--sp29xcb-pFvlrfLuv5Kk8GhtxGD7GwVRDWuBhREZG1DqOytiJNvgCPJKTV0puIxhpy3iiF2skKXCWn7Pz3NoUQtu9deqPua6sVCigK-Q293kuP</recordid><startdate>201001</startdate><enddate>201001</enddate><creator>Zeng Jiankui</creator><creator>Xiang Lijuan</creator><creator>Dong Zhiming</creator><creator>Yuan Shangzun</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201001</creationdate><title>A New Detection Method for MIMO Radar Using Hidden Markov Model</title><author>Zeng Jiankui ; Xiang Lijuan ; Dong Zhiming ; Yuan Shangzun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-bfd0f6b8e1b9cff24aaabbc2f4bb8a5ad60d2a13b53d9f29b9acd94425c380c83</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Anisotropic magnetoresistance</topic><topic>Clutter</topic><topic>detection</topic><topic>Hidden Markov models</topic><topic>HMM</topic><topic>MIMO</topic><topic>MIMO radar</topic><topic>Radar antennas</topic><topic>Radar detection</topic><topic>Radar scattering</topic><topic>Receiving antennas</topic><topic>Statistics</topic><topic>Stochastic processes</topic><toplevel>online_resources</toplevel><creatorcontrib>Zeng Jiankui</creatorcontrib><creatorcontrib>Xiang Lijuan</creatorcontrib><creatorcontrib>Dong Zhiming</creatorcontrib><creatorcontrib>Yuan Shangzun</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 Electronic Library (IEL)</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>Zeng Jiankui</au><au>Xiang Lijuan</au><au>Dong Zhiming</au><au>Yuan Shangzun</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>A New Detection Method for MIMO Radar Using Hidden Markov Model</atitle><btitle>2010 Second International Conference on Computer Modeling and Simulation</btitle><stitle>ICCMS</stitle><date>2010-01</date><risdate>2010</risdate><volume>2</volume><spage>341</spage><epage>343</epage><pages>341-343</pages><isbn>9781424456420</isbn><isbn>1424456428</isbn><eisbn>9781424456437</eisbn><eisbn>1424456436</eisbn><abstract>MIMO radar is a new radar technique developed recently. It can achieve better detection performance than conventional phased radar. Based on the scattering statistic of clutter and man-made target, we propose that hidden Markov models (HMM) can be used to model the clutter and target signals, and that the HMMs can be used to detect target. Simulation results verify its efficiency.</abstract><pub>IEEE</pub><doi>10.1109/ICCMS.2010.179</doi><tpages>3</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISBN: 9781424456420 |
| ispartof | 2010 Second International Conference on Computer Modeling and Simulation, 2010, Vol.2, p.341-343 |
| issn | |
| language | eng |
| recordid | cdi_ieee_primary_5421066 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Anisotropic magnetoresistance Clutter detection Hidden Markov models HMM MIMO MIMO radar Radar antennas Radar detection Radar scattering Receiving antennas Statistics Stochastic processes |
| title | A New Detection Method for MIMO Radar Using Hidden Markov Model |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-13T12%3A54%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-ieee_6IE&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft.genre=proceeding&rft.atitle=A%20New%20Detection%20Method%20for%20MIMO%20Radar%20Using%20Hidden%20Markov%20Model&rft.btitle=2010%20Second%20International%20Conference%20on%20Computer%20Modeling%20and%20Simulation&rft.au=Zeng%20Jiankui&rft.date=2010-01&rft.volume=2&rft.spage=341&rft.epage=343&rft.pages=341-343&rft.isbn=9781424456420&rft.isbn_list=1424456428&rft_id=info:doi/10.1109/ICCMS.2010.179&rft_dat=%3Cieee_6IE%3E5421066%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=9781424456437&rft.eisbn_list=1424456436&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=5421066&rfr_iscdi=true |