A Joint Scheme of Antenna Selection and Power Allocation for Localization in MIMO Radar Sensor Networks
We consider a joint scheme of antenna subset selection and optimal power allocation for localization in multiple-input-multiple-output radar sensor networks. Sensor management is accomplished by solving a constrained optimization problem that is formulated to minimize the error in estimating target...
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| Veröffentlicht in: | IEEE communications letters 2014-12, Vol.18 (12), p.2225-2228 |
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| container_title | IEEE communications letters |
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| creator | Ma, Botao Chen, Haowen Sun, Bin Xiao, Huaitie |
| description | We consider a joint scheme of antenna subset selection and optimal power allocation for localization in multiple-input-multiple-output radar sensor networks. Sensor management is accomplished by solving a constrained optimization problem that is formulated to minimize the error in estimating target position, while conserving transmitter number and power budget. We propose a suboptimal scheme for approximately solving this problem. The scheme separates the optimization into two steps, in which each step is transformed into a second-order cone programming (SOCP) by convex relaxation. Simulation results show that the proposed suboptimal two-step SOCP solution provides better localization performance for other strategies and is close to the optimal solution with a simulated annealing technique. |
| doi_str_mv | 10.1109/LCOMM.2014.2365206 |
| format | Article |
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Sensor management is accomplished by solving a constrained optimization problem that is formulated to minimize the error in estimating target position, while conserving transmitter number and power budget. We propose a suboptimal scheme for approximately solving this problem. The scheme separates the optimization into two steps, in which each step is transformed into a second-order cone programming (SOCP) by convex relaxation. 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Sensor management is accomplished by solving a constrained optimization problem that is formulated to minimize the error in estimating target position, while conserving transmitter number and power budget. We propose a suboptimal scheme for approximately solving this problem. The scheme separates the optimization into two steps, in which each step is transformed into a second-order cone programming (SOCP) by convex relaxation. Simulation results show that the proposed suboptimal two-step SOCP solution provides better localization performance for other strategies and is close to the optimal solution with a simulated annealing technique.</description><subject>antenna subset selection (ASS)</subject><subject>Antennas</subject><subject>MIMO radar</subject><subject>multiple-input-multipleoutput (MIMO) radar</subject><subject>optimal power allocation (OPA)</subject><subject>Optimization</subject><subject>Power distribution</subject><subject>Radar cross-sections</subject><subject>Resource management</subject><subject>Target localization</subject><issn>1089-7798</issn><issn>1558-2558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kMlOwzAURS0EEqXwA7DxD6TYjsdlVAEtSgiisI7cxIZAaiM7UgVfjzuIzRuu3nmLA8A1RjOMkbot53VVzQjCdEZyzgjiJ2CCGZMZSeU0zUiqTAglz8FFjJ8IIUkYnoD3Aj763o1w1X6YjYHewsKNxjkNV2Yw7dh7B7Xr4LPfmgCLYfCt3ofWB1imZeh_D0HvYLWsaviiOx0S7WK6eDLj1oeveAnOrB6iuTr2KXi7v3udL7KyfljOizJrCRdjhgkWWApKlGBUUMY6xpRYd50k3ArLU8CVpVzyXGpE7FpSRjtLrdVUE73Op4Ac_rbBxxiMbb5Dv9Hhp8Go2alq9qqanarmqCpBNweoN8b8A1zlXFKe_wGH4GTJ</recordid><startdate>201412</startdate><enddate>201412</enddate><creator>Ma, Botao</creator><creator>Chen, Haowen</creator><creator>Sun, Bin</creator><creator>Xiao, Huaitie</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>201412</creationdate><title>A Joint Scheme of Antenna Selection and Power Allocation for Localization in MIMO Radar Sensor Networks</title><author>Ma, Botao ; Chen, Haowen ; Sun, Bin ; Xiao, Huaitie</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c267t-12171874297547455d5597bdd826f7f655d69f468638a02fb8454df4ffa4a2ab3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>antenna subset selection (ASS)</topic><topic>Antennas</topic><topic>MIMO radar</topic><topic>multiple-input-multipleoutput (MIMO) radar</topic><topic>optimal power allocation (OPA)</topic><topic>Optimization</topic><topic>Power distribution</topic><topic>Radar cross-sections</topic><topic>Resource management</topic><topic>Target localization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ma, Botao</creatorcontrib><creatorcontrib>Chen, Haowen</creatorcontrib><creatorcontrib>Sun, Bin</creatorcontrib><creatorcontrib>Xiao, Huaitie</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 communications letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Ma, Botao</au><au>Chen, Haowen</au><au>Sun, Bin</au><au>Xiao, Huaitie</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Joint Scheme of Antenna Selection and Power Allocation for Localization in MIMO Radar Sensor Networks</atitle><jtitle>IEEE communications letters</jtitle><stitle>COML</stitle><date>2014-12</date><risdate>2014</risdate><volume>18</volume><issue>12</issue><spage>2225</spage><epage>2228</epage><pages>2225-2228</pages><issn>1089-7798</issn><eissn>1558-2558</eissn><coden>ICLEF6</coden><abstract>We consider a joint scheme of antenna subset selection and optimal power allocation for localization in multiple-input-multiple-output radar sensor networks. Sensor management is accomplished by solving a constrained optimization problem that is formulated to minimize the error in estimating target position, while conserving transmitter number and power budget. We propose a suboptimal scheme for approximately solving this problem. The scheme separates the optimization into two steps, in which each step is transformed into a second-order cone programming (SOCP) by convex relaxation. Simulation results show that the proposed suboptimal two-step SOCP solution provides better localization performance for other strategies and is close to the optimal solution with a simulated annealing technique.</abstract><pub>IEEE</pub><doi>10.1109/LCOMM.2014.2365206</doi><tpages>4</tpages></addata></record> |
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| ispartof | IEEE communications letters, 2014-12, Vol.18 (12), p.2225-2228 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | antenna subset selection (ASS) Antennas MIMO radar multiple-input-multipleoutput (MIMO) radar optimal power allocation (OPA) Optimization Power distribution Radar cross-sections Resource management Target localization |
| title | A Joint Scheme of Antenna Selection and Power Allocation for Localization in MIMO Radar Sensor Networks |
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