Widely separated MIMO radar with adaptive waveform for target classification

In prior work, we have shown the advantage of adaptive waveforms for monostatic radar target recognition performance. In this paper, we extend our approach to the widely separated multi-input multi-output (MIMO) radar scenario. MIMO radar exploits a diversity of radar waveforms and target scattering...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Junhyeong Bae, Goodman, N. A.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 24
container_issue
container_start_page 21
container_title
container_volume
creator Junhyeong Bae
Goodman, N. A.
description In prior work, we have shown the advantage of adaptive waveforms for monostatic radar target recognition performance. In this paper, we extend our approach to the widely separated multi-input multi-output (MIMO) radar scenario. MIMO radar exploits a diversity of radar waveforms and target scattering to improve radar performance. We present an iterative information-based waveform design method that results in waveforms having narrow, disjoint bands so as not to interfere with each other. Applying a constant modulus constraint causes spectral spreading, but we study the impact of this spreading and find that the performance loss is minimal.
doi_str_mv 10.1109/CAMSAP.2011.6135987
format Conference Proceeding
fullrecord <record><control><sourceid>ieee_6IE</sourceid><recordid>TN_cdi_ieee_primary_6135987</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>6135987</ieee_id><sourcerecordid>6135987</sourcerecordid><originalsourceid>FETCH-LOGICAL-i90t-ac48f42d87ce7a2a6988a798533fde666471d29434ea13ad303540a2b0c117bb3</originalsourceid><addsrcrecordid>eNo1j91KAzEUhCMiqHWfoDd5ga45m2x-LsviT2GXCha8LKebsxpp7ZKElr69BetczHxzMzCMTUGUAMI9NvPuff5WVgKg1CBrZ80VuwdVG1OBkHDNCmfsf1f1LStS-hZnaW2d0Xes_QietieeaMSImTzvFt2SR_QY-THkL36mMYcD8SMeaNjHHT8bzxg_KfN-iymFIfSYw_7ngd0MuE1UXHLCVs9Pq-Z11i5fFs28nQUn8gx7ZQdVeWt6MlihdtaicbaWcvCktVYGfOWUVIQg0UshayWw2ogewGw2csKmf7OBiNZjDDuMp_Xlv_wFPE9O5g</addsrcrecordid><sourcetype>Publisher</sourcetype><iscdi>true</iscdi><recordtype>conference_proceeding</recordtype></control><display><type>conference_proceeding</type><title>Widely separated MIMO radar with adaptive waveform for target classification</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>Junhyeong Bae ; Goodman, N. A.</creator><creatorcontrib>Junhyeong Bae ; Goodman, N. A.</creatorcontrib><description>In prior work, we have shown the advantage of adaptive waveforms for monostatic radar target recognition performance. In this paper, we extend our approach to the widely separated multi-input multi-output (MIMO) radar scenario. MIMO radar exploits a diversity of radar waveforms and target scattering to improve radar performance. We present an iterative information-based waveform design method that results in waveforms having narrow, disjoint bands so as not to interfere with each other. Applying a constant modulus constraint causes spectral spreading, but we study the impact of this spreading and find that the performance loss is minimal.</description><identifier>ISBN: 9781457721045</identifier><identifier>ISBN: 145772104X</identifier><identifier>EISBN: 1457721031</identifier><identifier>EISBN: 9781457721038</identifier><identifier>EISBN: 9781457721052</identifier><identifier>EISBN: 1457721058</identifier><identifier>DOI: 10.1109/CAMSAP.2011.6135987</identifier><language>eng</language><publisher>IEEE</publisher><subject>Interference ; MIMO radar ; Radar antennas ; Radar cross section ; Radar tracking ; Target recognition</subject><ispartof>2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2011, p.21-24</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/6135987$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>310,311,782,786,791,792,2062,27934,54929</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6135987$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Junhyeong Bae</creatorcontrib><creatorcontrib>Goodman, N. A.</creatorcontrib><title>Widely separated MIMO radar with adaptive waveform for target classification</title><title>2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)</title><addtitle>CAMSAP</addtitle><description>In prior work, we have shown the advantage of adaptive waveforms for monostatic radar target recognition performance. In this paper, we extend our approach to the widely separated multi-input multi-output (MIMO) radar scenario. MIMO radar exploits a diversity of radar waveforms and target scattering to improve radar performance. We present an iterative information-based waveform design method that results in waveforms having narrow, disjoint bands so as not to interfere with each other. Applying a constant modulus constraint causes spectral spreading, but we study the impact of this spreading and find that the performance loss is minimal.</description><subject>Interference</subject><subject>MIMO radar</subject><subject>Radar antennas</subject><subject>Radar cross section</subject><subject>Radar tracking</subject><subject>Target recognition</subject><isbn>9781457721045</isbn><isbn>145772104X</isbn><isbn>1457721031</isbn><isbn>9781457721038</isbn><isbn>9781457721052</isbn><isbn>1457721058</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2011</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1j91KAzEUhCMiqHWfoDd5ga45m2x-LsviT2GXCha8LKebsxpp7ZKElr69BetczHxzMzCMTUGUAMI9NvPuff5WVgKg1CBrZ80VuwdVG1OBkHDNCmfsf1f1LStS-hZnaW2d0Xes_QietieeaMSImTzvFt2SR_QY-THkL36mMYcD8SMeaNjHHT8bzxg_KfN-iymFIfSYw_7ngd0MuE1UXHLCVs9Pq-Z11i5fFs28nQUn8gx7ZQdVeWt6MlihdtaicbaWcvCktVYGfOWUVIQg0UshayWw2ogewGw2csKmf7OBiNZjDDuMp_Xlv_wFPE9O5g</recordid><startdate>201112</startdate><enddate>201112</enddate><creator>Junhyeong Bae</creator><creator>Goodman, N. A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201112</creationdate><title>Widely separated MIMO radar with adaptive waveform for target classification</title><author>Junhyeong Bae ; Goodman, N. A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-ac48f42d87ce7a2a6988a798533fde666471d29434ea13ad303540a2b0c117bb3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Interference</topic><topic>MIMO radar</topic><topic>Radar antennas</topic><topic>Radar cross section</topic><topic>Radar tracking</topic><topic>Target recognition</topic><toplevel>online_resources</toplevel><creatorcontrib>Junhyeong Bae</creatorcontrib><creatorcontrib>Goodman, N. A.</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 (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>Junhyeong Bae</au><au>Goodman, N. A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Widely separated MIMO radar with adaptive waveform for target classification</atitle><btitle>2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)</btitle><stitle>CAMSAP</stitle><date>2011-12</date><risdate>2011</risdate><spage>21</spage><epage>24</epage><pages>21-24</pages><isbn>9781457721045</isbn><isbn>145772104X</isbn><eisbn>1457721031</eisbn><eisbn>9781457721038</eisbn><eisbn>9781457721052</eisbn><eisbn>1457721058</eisbn><abstract>In prior work, we have shown the advantage of adaptive waveforms for monostatic radar target recognition performance. In this paper, we extend our approach to the widely separated multi-input multi-output (MIMO) radar scenario. MIMO radar exploits a diversity of radar waveforms and target scattering to improve radar performance. We present an iterative information-based waveform design method that results in waveforms having narrow, disjoint bands so as not to interfere with each other. Applying a constant modulus constraint causes spectral spreading, but we study the impact of this spreading and find that the performance loss is minimal.</abstract><pub>IEEE</pub><doi>10.1109/CAMSAP.2011.6135987</doi><tpages>4</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISBN: 9781457721045
ispartof 2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2011, p.21-24
issn
language eng
recordid cdi_ieee_primary_6135987
source IEEE Electronic Library (IEL) Conference Proceedings
subjects Interference
MIMO radar
Radar antennas
Radar cross section
Radar tracking
Target recognition
title Widely separated MIMO radar with adaptive waveform for target classification
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-03T17%3A23%3A47IST&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=Widely%20separated%20MIMO%20radar%20with%20adaptive%20waveform%20for%20target%20classification&rft.btitle=2011%204th%20IEEE%20International%20Workshop%20on%20Computational%20Advances%20in%20Multi-Sensor%20Adaptive%20Processing%20(CAMSAP)&rft.au=Junhyeong%20Bae&rft.date=2011-12&rft.spage=21&rft.epage=24&rft.pages=21-24&rft.isbn=9781457721045&rft.isbn_list=145772104X&rft_id=info:doi/10.1109/CAMSAP.2011.6135987&rft_dat=%3Cieee_6IE%3E6135987%3C/ieee_6IE%3E%3Curl%3E%3C/url%3E&rft.eisbn=1457721031&rft.eisbn_list=9781457721038&rft.eisbn_list=9781457721052&rft.eisbn_list=1457721058&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=6135987&rfr_iscdi=true