Minimum integrated sidelobe ratio filters for MIMO radar
By simultaneously transmitting multiple waveforms, a multiple-input, multiple-output (MIMO) radar retains transmit degrees of freedom, but the range-sidelobe performance will be degraded by the cross-correlation between waveforms. Techniques for providing low sidelobes are required for many MIMO rad...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on aerospace and electronic systems 2015-01, Vol.51 (1), p.405-416 |
|---|---|
| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext bestellen |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 416 |
|---|---|
| container_issue | 1 |
| container_start_page | 405 |
| container_title | IEEE transactions on aerospace and electronic systems |
| container_volume | 51 |
| creator | Davis, Michael S. Lanterman, Aaron |
| description | By simultaneously transmitting multiple waveforms, a multiple-input, multiple-output (MIMO) radar retains transmit degrees of freedom, but the range-sidelobe performance will be degraded by the cross-correlation between waveforms. Techniques for providing low sidelobes are required for many MIMO radar applications such as MIMO synthetic aperture radar. This paper presents a new mismatched-filtering approach for designing optimal filters that minimize the integrated sidelobe ratio for MIMO radar. Unlike other approaches presented in the literature, this new method jointly applies pulse compression and spatial beamforming, which allows improved sidelobe control compared to techniques that apply these processing stages in a separable manner. |
| doi_str_mv | 10.1109/TAES.2014.130745 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_ieee_primary_7073501</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7073501</ieee_id><sourcerecordid>3703286431</sourcerecordid><originalsourceid>FETCH-LOGICAL-c291t-7544a9fdb73a2f5157e6d14b43fbc0e57d4d5c34466d2ab9f87adeeaf1aa13ba3</originalsourceid><addsrcrecordid>eNo9kM1LwzAYxoMoWKd3wUvBc2fefDTtcYypg5UdnOeQNm8ko1tn0h38782oeHp5Xp4P-BHyCHQOQOuX3WL1MWcUxBw4VUJekQykVEVdUn5NMkqhKmom4ZbcxbhPUlSCZ6Rq_NEfzofcH0f8CmZEm0dvsR9azJP0Q-58P2KIuRtC3qybbXpbE-7JjTN9xIe_OyOfr6vd8r3YbN_Wy8Wm6FgNY6GkEKZ2tlXcMCdBKiwtiFZw13YUpbLCyo4LUZaWmbZ2lTIW0TgwBnhr-Iw8T72nMHyfMY56P5zDMU1qKCvJBBNUJRedXF0YYgzo9Cn4gwk_Gqi-8NEXPvrCR098UuRpinhE_LerVCYp8F9tvmDE</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1685242407</pqid></control><display><type>article</type><title>Minimum integrated sidelobe ratio filters for MIMO radar</title><source>IEEE Electronic Library (IEL)</source><creator>Davis, Michael S. ; Lanterman, Aaron</creator><creatorcontrib>Davis, Michael S. ; Lanterman, Aaron</creatorcontrib><description>By simultaneously transmitting multiple waveforms, a multiple-input, multiple-output (MIMO) radar retains transmit degrees of freedom, but the range-sidelobe performance will be degraded by the cross-correlation between waveforms. Techniques for providing low sidelobes are required for many MIMO radar applications such as MIMO synthetic aperture radar. This paper presents a new mismatched-filtering approach for designing optimal filters that minimize the integrated sidelobe ratio for MIMO radar. Unlike other approaches presented in the literature, this new method jointly applies pulse compression and spatial beamforming, which allows improved sidelobe control compared to techniques that apply these processing stages in a separable manner.</description><identifier>ISSN: 0018-9251</identifier><identifier>EISSN: 1557-9603</identifier><identifier>DOI: 10.1109/TAES.2014.130745</identifier><identifier>CODEN: IEARAX</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Correlation ; Doppler effect ; MIMO ; MIMO radar ; Signal to noise ratio ; Vectors</subject><ispartof>IEEE transactions on aerospace and electronic systems, 2015-01, Vol.51 (1), p.405-416</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Jan 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c291t-7544a9fdb73a2f5157e6d14b43fbc0e57d4d5c34466d2ab9f87adeeaf1aa13ba3</citedby><cites>FETCH-LOGICAL-c291t-7544a9fdb73a2f5157e6d14b43fbc0e57d4d5c34466d2ab9f87adeeaf1aa13ba3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7073501$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27903,27904,54737</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7073501$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Davis, Michael S.</creatorcontrib><creatorcontrib>Lanterman, Aaron</creatorcontrib><title>Minimum integrated sidelobe ratio filters for MIMO radar</title><title>IEEE transactions on aerospace and electronic systems</title><addtitle>T-AES</addtitle><description>By simultaneously transmitting multiple waveforms, a multiple-input, multiple-output (MIMO) radar retains transmit degrees of freedom, but the range-sidelobe performance will be degraded by the cross-correlation between waveforms. Techniques for providing low sidelobes are required for many MIMO radar applications such as MIMO synthetic aperture radar. This paper presents a new mismatched-filtering approach for designing optimal filters that minimize the integrated sidelobe ratio for MIMO radar. Unlike other approaches presented in the literature, this new method jointly applies pulse compression and spatial beamforming, which allows improved sidelobe control compared to techniques that apply these processing stages in a separable manner.</description><subject>Correlation</subject><subject>Doppler effect</subject><subject>MIMO</subject><subject>MIMO radar</subject><subject>Signal to noise ratio</subject><subject>Vectors</subject><issn>0018-9251</issn><issn>1557-9603</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kM1LwzAYxoMoWKd3wUvBc2fefDTtcYypg5UdnOeQNm8ko1tn0h38782oeHp5Xp4P-BHyCHQOQOuX3WL1MWcUxBw4VUJekQykVEVdUn5NMkqhKmom4ZbcxbhPUlSCZ6Rq_NEfzofcH0f8CmZEm0dvsR9azJP0Q-58P2KIuRtC3qybbXpbE-7JjTN9xIe_OyOfr6vd8r3YbN_Wy8Wm6FgNY6GkEKZ2tlXcMCdBKiwtiFZw13YUpbLCyo4LUZaWmbZ2lTIW0TgwBnhr-Iw8T72nMHyfMY56P5zDMU1qKCvJBBNUJRedXF0YYgzo9Cn4gwk_Gqi-8NEXPvrCR098UuRpinhE_LerVCYp8F9tvmDE</recordid><startdate>201501</startdate><enddate>201501</enddate><creator>Davis, Michael S.</creator><creator>Lanterman, Aaron</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>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>L7M</scope></search><sort><creationdate>201501</creationdate><title>Minimum integrated sidelobe ratio filters for MIMO radar</title><author>Davis, Michael S. ; Lanterman, Aaron</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c291t-7544a9fdb73a2f5157e6d14b43fbc0e57d4d5c34466d2ab9f87adeeaf1aa13ba3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Correlation</topic><topic>Doppler effect</topic><topic>MIMO</topic><topic>MIMO radar</topic><topic>Signal to noise ratio</topic><topic>Vectors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Davis, Michael S.</creatorcontrib><creatorcontrib>Lanterman, Aaron</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on aerospace and electronic systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Davis, Michael S.</au><au>Lanterman, Aaron</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Minimum integrated sidelobe ratio filters for MIMO radar</atitle><jtitle>IEEE transactions on aerospace and electronic systems</jtitle><stitle>T-AES</stitle><date>2015-01</date><risdate>2015</risdate><volume>51</volume><issue>1</issue><spage>405</spage><epage>416</epage><pages>405-416</pages><issn>0018-9251</issn><eissn>1557-9603</eissn><coden>IEARAX</coden><abstract>By simultaneously transmitting multiple waveforms, a multiple-input, multiple-output (MIMO) radar retains transmit degrees of freedom, but the range-sidelobe performance will be degraded by the cross-correlation between waveforms. Techniques for providing low sidelobes are required for many MIMO radar applications such as MIMO synthetic aperture radar. This paper presents a new mismatched-filtering approach for designing optimal filters that minimize the integrated sidelobe ratio for MIMO radar. Unlike other approaches presented in the literature, this new method jointly applies pulse compression and spatial beamforming, which allows improved sidelobe control compared to techniques that apply these processing stages in a separable manner.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TAES.2014.130745</doi><tpages>12</tpages></addata></record> |
| fulltext | fulltext_linktorsrc |
| identifier | ISSN: 0018-9251 |
| ispartof | IEEE transactions on aerospace and electronic systems, 2015-01, Vol.51 (1), p.405-416 |
| issn | 0018-9251 1557-9603 |
| language | eng |
| recordid | cdi_ieee_primary_7073501 |
| source | IEEE Electronic Library (IEL) |
| subjects | Correlation Doppler effect MIMO MIMO radar Signal to noise ratio Vectors |
| title | Minimum integrated sidelobe ratio filters for MIMO radar |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T22%3A43%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Minimum%20integrated%20sidelobe%20ratio%20filters%20for%20MIMO%20radar&rft.jtitle=IEEE%20transactions%20on%20aerospace%20and%20electronic%20systems&rft.au=Davis,%20Michael%20S.&rft.date=2015-01&rft.volume=51&rft.issue=1&rft.spage=405&rft.epage=416&rft.pages=405-416&rft.issn=0018-9251&rft.eissn=1557-9603&rft.coden=IEARAX&rft_id=info:doi/10.1109/TAES.2014.130745&rft_dat=%3Cproquest_RIE%3E3703286431%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1685242407&rft_id=info:pmid/&rft_ieee_id=7073501&rfr_iscdi=true |