Hyperbolic Localization in MIMO Radar Systems
This letter addresses an effective algorithm for target localization in multiple-input-multiple-output (MIMO) radar systems with widely separated antennas. The algorithm derived uses time-of-arrival (TOA) measurements from multiple transmitter-receiver pairs and is based on a hyperbolic method suita...
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Veröffentlicht in: | IEEE antennas and wireless propagation letters 2015, Vol.14, p.618-621 |
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creator | Yang, Heeseong Chun, Joohwan Chae, Daeyoung |
description | This letter addresses an effective algorithm for target localization in multiple-input-multiple-output (MIMO) radar systems with widely separated antennas. The algorithm derived uses time-of-arrival (TOA) measurements from multiple transmitter-receiver pairs and is based on a hyperbolic method suitable for radiation source localization in passive sensor networks. It does not have the local convergence problem as the conventional iterative method. Some combinations of the derived algorithm and the conventional iterative method are presented. In a numerical example, it is shown that the proposed methods can achieve the Cramer-Rao lower bound (CRLB) in the range of moderate processed measurement noise and obtain the better localization performance as the number of transmitters and receivers increases. Furthermore, some remarks are made on the robustness of the proposed methods. |
doi_str_mv | 10.1109/LAWP.2014.2374603 |
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The algorithm derived uses time-of-arrival (TOA) measurements from multiple transmitter-receiver pairs and is based on a hyperbolic method suitable for radiation source localization in passive sensor networks. It does not have the local convergence problem as the conventional iterative method. Some combinations of the derived algorithm and the conventional iterative method are presented. In a numerical example, it is shown that the proposed methods can achieve the Cramer-Rao lower bound (CRLB) in the range of moderate processed measurement noise and obtain the better localization performance as the number of transmitters and receivers increases. Furthermore, some remarks are made on the robustness of the proposed methods.</description><identifier>ISSN: 1536-1225</identifier><identifier>EISSN: 1548-5757</identifier><identifier>DOI: 10.1109/LAWP.2014.2374603</identifier><identifier>CODEN: IAWPA7</identifier><language>eng</language><publisher>IEEE</publisher><subject>Hyperbolic method ; MIMO radar ; multiple-input-multiple-output (MIMO) radar ; Noise ; Radar antennas ; Receivers ; target localization ; time of arrival (TOA) ; Transmitters ; Vectors ; weighted least squares</subject><ispartof>IEEE antennas and wireless propagation letters, 2015, Vol.14, p.618-621</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c265t-19cb34c11de4d86ee543a6d27f350a5e44b783329b08be945b1df1ef45e0cc973</citedby><cites>FETCH-LOGICAL-c265t-19cb34c11de4d86ee543a6d27f350a5e44b783329b08be945b1df1ef45e0cc973</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6967718$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,4010,27900,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6967718$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Yang, Heeseong</creatorcontrib><creatorcontrib>Chun, Joohwan</creatorcontrib><creatorcontrib>Chae, Daeyoung</creatorcontrib><title>Hyperbolic Localization in MIMO Radar Systems</title><title>IEEE antennas and wireless propagation letters</title><addtitle>LAWP</addtitle><description>This letter addresses an effective algorithm for target localization in multiple-input-multiple-output (MIMO) radar systems with widely separated antennas. The algorithm derived uses time-of-arrival (TOA) measurements from multiple transmitter-receiver pairs and is based on a hyperbolic method suitable for radiation source localization in passive sensor networks. It does not have the local convergence problem as the conventional iterative method. Some combinations of the derived algorithm and the conventional iterative method are presented. In a numerical example, it is shown that the proposed methods can achieve the Cramer-Rao lower bound (CRLB) in the range of moderate processed measurement noise and obtain the better localization performance as the number of transmitters and receivers increases. Furthermore, some remarks are made on the robustness of the proposed methods.</description><subject>Hyperbolic method</subject><subject>MIMO radar</subject><subject>multiple-input-multiple-output (MIMO) radar</subject><subject>Noise</subject><subject>Radar antennas</subject><subject>Receivers</subject><subject>target localization</subject><subject>time of arrival (TOA)</subject><subject>Transmitters</subject><subject>Vectors</subject><subject>weighted least squares</subject><issn>1536-1225</issn><issn>1548-5757</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9j8tKAzEYhYMoWKsPIG7mBVLz5zpZlqK2MKXiBZchk_kHItNOSWYzPr0OLa7OWZzvwEfIPbAFALOP1fLrdcEZyAUXRmomLsgMlCypMspcTl1oCpyra3KT8zdjYLQSM0LX4xFT3XcxFFUffBd__BD7QxEPxXaz3RVvvvGpeB_zgPt8S65a32W8O-ecfD4_fazWtNq9bFbLigau1UDBhlrIANCgbEqNqKTwuuGmFYp5hVLWphSC25qVNVqpamhawFYqZCFYI-YETr8h9TknbN0xxb1PowPmJl83-brJ1519_5iHExMR8X-vrTYGSvELg4BQfw</recordid><startdate>2015</startdate><enddate>2015</enddate><creator>Yang, Heeseong</creator><creator>Chun, Joohwan</creator><creator>Chae, Daeyoung</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>2015</creationdate><title>Hyperbolic Localization in MIMO Radar Systems</title><author>Yang, Heeseong ; Chun, Joohwan ; Chae, Daeyoung</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c265t-19cb34c11de4d86ee543a6d27f350a5e44b783329b08be945b1df1ef45e0cc973</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Hyperbolic method</topic><topic>MIMO radar</topic><topic>multiple-input-multiple-output (MIMO) radar</topic><topic>Noise</topic><topic>Radar antennas</topic><topic>Receivers</topic><topic>target localization</topic><topic>time of arrival (TOA)</topic><topic>Transmitters</topic><topic>Vectors</topic><topic>weighted least squares</topic><toplevel>online_resources</toplevel><creatorcontrib>Yang, Heeseong</creatorcontrib><creatorcontrib>Chun, Joohwan</creatorcontrib><creatorcontrib>Chae, Daeyoung</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><jtitle>IEEE antennas and wireless propagation letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yang, Heeseong</au><au>Chun, Joohwan</au><au>Chae, Daeyoung</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hyperbolic Localization in MIMO Radar Systems</atitle><jtitle>IEEE antennas and wireless propagation letters</jtitle><stitle>LAWP</stitle><date>2015</date><risdate>2015</risdate><volume>14</volume><spage>618</spage><epage>621</epage><pages>618-621</pages><issn>1536-1225</issn><eissn>1548-5757</eissn><coden>IAWPA7</coden><abstract>This letter addresses an effective algorithm for target localization in multiple-input-multiple-output (MIMO) radar systems with widely separated antennas. The algorithm derived uses time-of-arrival (TOA) measurements from multiple transmitter-receiver pairs and is based on a hyperbolic method suitable for radiation source localization in passive sensor networks. It does not have the local convergence problem as the conventional iterative method. Some combinations of the derived algorithm and the conventional iterative method are presented. In a numerical example, it is shown that the proposed methods can achieve the Cramer-Rao lower bound (CRLB) in the range of moderate processed measurement noise and obtain the better localization performance as the number of transmitters and receivers increases. Furthermore, some remarks are made on the robustness of the proposed methods.</abstract><pub>IEEE</pub><doi>10.1109/LAWP.2014.2374603</doi><tpages>4</tpages></addata></record> |
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subjects | Hyperbolic method MIMO radar multiple-input-multiple-output (MIMO) radar Noise Radar antennas Receivers target localization time of arrival (TOA) Transmitters Vectors weighted least squares |
title | Hyperbolic Localization in MIMO Radar Systems |
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