Low Complexity Detection for Quadrature Spatial Modulation Systems
Quadrature spatial modulation (QSM), where the real and imaginary parts of the transmitted symbol are transmitted separately, was recently proposed to increase the spectral efficiency of spatial modulation. An optimum maximum likelihood (ML) detection was introduced in QSM systems, which leads to hi...
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| Veröffentlicht in: | Wireless personal communications 2017-08, Vol.95 (4), p.4171-4183 |
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| container_title | Wireless personal communications |
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| creator | Li, Jun Jiang, Xueqin Yan, Yier Yu, Wenjun Song, Sangseob Lee, Moon Ho |
| description | Quadrature spatial modulation (QSM), where the real and imaginary parts of the transmitted symbol are transmitted separately, was recently proposed to increase the spectral efficiency of spatial modulation. An optimum maximum likelihood (ML) detection was introduced in QSM systems, which leads to high complexity as the exhausting search of all possible transmit antennas. In this paper, a low complexity detection, called signal vector based minimum mean square error (SVMMSE), is proposed for QSM systems. In the proposed SVMMSE detection, we estimate the transmit antenna indices and the transmitted symbol by considering the active transmit antennas in two different scenarios. Simulation results show that the performance of our SVMMSE detection is very close to the ML detection and complexity analysis shows that the computational complexity of the proposed SVMMSE detection is significantly reduced compared with that of the ML detection. |
| doi_str_mv | 10.1007/s11277-017-4057-y |
| format | Article |
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An optimum maximum likelihood (ML) detection was introduced in QSM systems, which leads to high complexity as the exhausting search of all possible transmit antennas. In this paper, a low complexity detection, called signal vector based minimum mean square error (SVMMSE), is proposed for QSM systems. In the proposed SVMMSE detection, we estimate the transmit antenna indices and the transmitted symbol by considering the active transmit antennas in two different scenarios. Simulation results show that the performance of our SVMMSE detection is very close to the ML detection and complexity analysis shows that the computational complexity of the proposed SVMMSE detection is significantly reduced compared with that of the ML detection.</description><identifier>ISSN: 0929-6212</identifier><identifier>EISSN: 1572-834X</identifier><identifier>DOI: 10.1007/s11277-017-4057-y</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Antennas ; Communications Engineering ; Complexity ; Computer Communication Networks ; Computer simulation ; Engineering ; Error detection ; Exhausting ; Modulation ; Networks ; Signal,Image and Speech Processing</subject><ispartof>Wireless personal communications, 2017-08, Vol.95 (4), p.4171-4183</ispartof><rights>Springer Science+Business Media New York 2017</rights><rights>Copyright Springer Science & Business Media 2017</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-4cb029137b17492f3e3ec31c9e1b8de5e622d6e64aa5fd495456fdac075600833</citedby><cites>FETCH-LOGICAL-c316t-4cb029137b17492f3e3ec31c9e1b8de5e622d6e64aa5fd495456fdac075600833</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11277-017-4057-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11277-017-4057-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids></links><search><creatorcontrib>Li, Jun</creatorcontrib><creatorcontrib>Jiang, Xueqin</creatorcontrib><creatorcontrib>Yan, Yier</creatorcontrib><creatorcontrib>Yu, Wenjun</creatorcontrib><creatorcontrib>Song, Sangseob</creatorcontrib><creatorcontrib>Lee, Moon Ho</creatorcontrib><title>Low Complexity Detection for Quadrature Spatial Modulation Systems</title><title>Wireless personal communications</title><addtitle>Wireless Pers Commun</addtitle><description>Quadrature spatial modulation (QSM), where the real and imaginary parts of the transmitted symbol are transmitted separately, was recently proposed to increase the spectral efficiency of spatial modulation. 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An optimum maximum likelihood (ML) detection was introduced in QSM systems, which leads to high complexity as the exhausting search of all possible transmit antennas. In this paper, a low complexity detection, called signal vector based minimum mean square error (SVMMSE), is proposed for QSM systems. In the proposed SVMMSE detection, we estimate the transmit antenna indices and the transmitted symbol by considering the active transmit antennas in two different scenarios. Simulation results show that the performance of our SVMMSE detection is very close to the ML detection and complexity analysis shows that the computational complexity of the proposed SVMMSE detection is significantly reduced compared with that of the ML detection.</abstract><cop>New York</cop><pub>Springer US</pub><doi>10.1007/s11277-017-4057-y</doi><tpages>13</tpages></addata></record> |
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| subjects | Antennas Communications Engineering Complexity Computer Communication Networks Computer simulation Engineering Error detection Exhausting Modulation Networks Signal,Image and Speech Processing |
| title | Low Complexity Detection for Quadrature Spatial Modulation Systems |
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