Orthogonal Least Squares Detector for Generalized Spatial Modulation
Generalized spatial modulation (GSM), which is a novel multiple-input multiple-output (MIMO) transmission technique, has attracted massive research attention in recent years. In this paper, we first utilize the orthogonal least squares (OLS) based detector for GSM detection. Then, we develop a suffi...
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| Veröffentlicht in: | IEEE transactions on wireless communications 2021-08, Vol.20 (8), p.5071-5082 |
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| container_title | IEEE transactions on wireless communications |
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| creator | Wen, Jinming Li, Jie Ge, Huanmin Zhou, Zhengchun Luo, Weiqi |
| description | Generalized spatial modulation (GSM), which is a novel multiple-input multiple-output (MIMO) transmission technique, has attracted massive research attention in recent years. In this paper, we first utilize the orthogonal least squares (OLS) based detector for GSM detection. Then, we develop a sufficient condition of successful detection for the OLS based detector based on the restricted isometry property (RIP) of the channel matrix. Moreover, we prove that our sufficient condition is optimal. Finally, numerical simulations are conducted to illustrate that the proposed OLS based detector has better detection performance than the orthogonal matching pursuit (OMP) based detector with more or less the same time complexity. |
| doi_str_mv | 10.1109/TWC.2021.3065383 |
| format | Article |
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Finally, numerical simulations are conducted to illustrate that the proposed OLS based detector has better detection performance than the orthogonal matching pursuit (OMP) based detector with more or less the same time complexity.</description><subject>Detectors</subject><subject>Generalized spatial modulation</subject><subject>GSM</subject><subject>Least squares</subject><subject>Matched pursuit</subject><subject>Matching pursuit algorithms</subject><subject>MIMO</subject><subject>Modulation</subject><subject>Numerical simulation</subject><subject>Orthogonal least squares based detector</subject><subject>Restricted isometry property</subject><subject>Restricted orthogonality constant</subject><subject>Sensors</subject><subject>sparse recovery</subject><subject>Sufficient conditions</subject><issn>1536-1276</issn><issn>1558-2248</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kEFLAzEQRoMoWKt3wcuC562TZLNJjtJqFSo9tOAxxOysblmbNske9Neb0uJhmO_wvmF4hNxSmFAK-mH9Pp0wYHTCoRZc8TMyokKokrFKnR8yr0vKZH1JrmLcAFBZCzEis2VIX_7Tb21fLNDGVKz2gw0YixkmdMmHos0zxy0G23e_2BSrnU1dxt98M_Q5-u01uWhtH_HmtMdk_fy0nr6Ui-X8dfq4KB0XMpVaWQqOOYkSWCMbVBTAAYePFqFyynHWcC5A2gqVRA5CtrrRrBUWrGN8TO6PZ3fB7weMyWz8EPLn0TBRA-VMC5opOFIu-BgDtmYXum8bfgwFc1BlsipzUGVOqnLl7ljpEPEf11zRutL8D0qOZC4</recordid><startdate>202108</startdate><enddate>202108</enddate><creator>Wen, Jinming</creator><creator>Li, Jie</creator><creator>Ge, Huanmin</creator><creator>Zhou, Zhengchun</creator><creator>Luo, Weiqi</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>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-9797-5407</orcidid><orcidid>https://orcid.org/0000-0003-1132-373X</orcidid><orcidid>https://orcid.org/0000-0002-0228-7119</orcidid><orcidid>https://orcid.org/0000-0002-8181-0958</orcidid><orcidid>https://orcid.org/0000-0001-5605-7397</orcidid></search><sort><creationdate>202108</creationdate><title>Orthogonal Least Squares Detector for Generalized Spatial Modulation</title><author>Wen, Jinming ; Li, Jie ; Ge, Huanmin ; Zhou, Zhengchun ; Luo, Weiqi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c357t-98a10c2c7e702d7de8100c030bfe04c8c32d33507a4e87e3057f9d92f5a0ac23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Detectors</topic><topic>Generalized spatial modulation</topic><topic>GSM</topic><topic>Least squares</topic><topic>Matched pursuit</topic><topic>Matching pursuit algorithms</topic><topic>MIMO</topic><topic>Modulation</topic><topic>Numerical simulation</topic><topic>Orthogonal least squares based detector</topic><topic>Restricted isometry property</topic><topic>Restricted orthogonality constant</topic><topic>Sensors</topic><topic>sparse recovery</topic><topic>Sufficient conditions</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wen, Jinming</creatorcontrib><creatorcontrib>Li, Jie</creatorcontrib><creatorcontrib>Ge, Huanmin</creatorcontrib><creatorcontrib>Zhou, Zhengchun</creatorcontrib><creatorcontrib>Luo, Weiqi</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>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transactions on wireless communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Wen, Jinming</au><au>Li, Jie</au><au>Ge, Huanmin</au><au>Zhou, Zhengchun</au><au>Luo, Weiqi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Orthogonal Least Squares Detector for Generalized Spatial Modulation</atitle><jtitle>IEEE transactions on wireless communications</jtitle><stitle>TWC</stitle><date>2021-08</date><risdate>2021</risdate><volume>20</volume><issue>8</issue><spage>5071</spage><epage>5082</epage><pages>5071-5082</pages><issn>1536-1276</issn><eissn>1558-2248</eissn><coden>ITWCAX</coden><abstract>Generalized spatial modulation (GSM), which is a novel multiple-input multiple-output (MIMO) transmission technique, has attracted massive research attention in recent years. In this paper, we first utilize the orthogonal least squares (OLS) based detector for GSM detection. Then, we develop a sufficient condition of successful detection for the OLS based detector based on the restricted isometry property (RIP) of the channel matrix. Moreover, we prove that our sufficient condition is optimal. Finally, numerical simulations are conducted to illustrate that the proposed OLS based detector has better detection performance than the orthogonal matching pursuit (OMP) based detector with more or less the same time complexity.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TWC.2021.3065383</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-9797-5407</orcidid><orcidid>https://orcid.org/0000-0003-1132-373X</orcidid><orcidid>https://orcid.org/0000-0002-0228-7119</orcidid><orcidid>https://orcid.org/0000-0002-8181-0958</orcidid><orcidid>https://orcid.org/0000-0001-5605-7397</orcidid></addata></record> |
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| ispartof | IEEE transactions on wireless communications, 2021-08, Vol.20 (8), p.5071-5082 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Detectors Generalized spatial modulation GSM Least squares Matched pursuit Matching pursuit algorithms MIMO Modulation Numerical simulation Orthogonal least squares based detector Restricted isometry property Restricted orthogonality constant Sensors sparse recovery Sufficient conditions |
| title | Orthogonal Least Squares Detector for Generalized Spatial Modulation |
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