Characterization of WSSUS channels: normalized mean square covariance
A set of second-order statistics collectively called normalized mean square covariance (NMSV) are defined to characterize the frequency and/or the time selectivity of wide-sense stationary uncorrelated scattering (WSSUS) channels. Normalized frequency mean square covariance (NFMSV) quantifies the fr...
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| Veröffentlicht in: | IEEE transactions on wireless communications 2005-07, Vol.4 (4), p.1575-1584 |
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| container_title | IEEE transactions on wireless communications |
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| creator | Do-Sik Yoo Stark, W.E. |
| description | A set of second-order statistics collectively called normalized mean square covariance (NMSV) are defined to characterize the frequency and/or the time selectivity of wide-sense stationary uncorrelated scattering (WSSUS) channels. Normalized frequency mean square covariance (NFMSV) quantifies the frequency selectivity, while normalized time mean square covariance (NTMSV) characterizes the time selectivity. Normalized frequency-time mean square covariance is defined to characterize the combined effect of frequency and time selectivities. The NMSVs of a WSSUS channel can be computed easily from the scattering function. We show that there is a very close relationship between the NMSV of a WSSUS channel and the performance of various diversity combing schemes. Also we discuss, with practical system design problems, how useful the parameters are for efficient system design. |
| doi_str_mv | 10.1109/TWC.2004.843046 |
| format | Article |
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Normalized frequency mean square covariance (NFMSV) quantifies the frequency selectivity, while normalized time mean square covariance (NTMSV) characterizes the time selectivity. Normalized frequency-time mean square covariance is defined to characterize the combined effect of frequency and time selectivities. The NMSVs of a WSSUS channel can be computed easily from the scattering function. We show that there is a very close relationship between the NMSV of a WSSUS channel and the performance of various diversity combing schemes. 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(IEEE) 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c447t-6118de37be94e9dd45251bdd8f1c938da16ae7fd48e62c2b9376a9ee46f65cea3</citedby><cites>FETCH-LOGICAL-c447t-6118de37be94e9dd45251bdd8f1c938da16ae7fd48e62c2b9376a9ee46f65cea3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1512117$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1512117$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17125753$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Do-Sik Yoo</creatorcontrib><creatorcontrib>Stark, W.E.</creatorcontrib><title>Characterization of WSSUS channels: normalized mean square covariance</title><title>IEEE transactions on wireless communications</title><addtitle>TWC</addtitle><description>A set of second-order statistics collectively called normalized mean square covariance (NMSV) are defined to characterize the frequency and/or the time selectivity of wide-sense stationary uncorrelated scattering (WSSUS) channels. Normalized frequency mean square covariance (NFMSV) quantifies the frequency selectivity, while normalized time mean square covariance (NTMSV) characterizes the time selectivity. Normalized frequency-time mean square covariance is defined to characterize the combined effect of frequency and time selectivities. The NMSVs of a WSSUS channel can be computed easily from the scattering function. We show that there is a very close relationship between the NMSV of a WSSUS channel and the performance of various diversity combing schemes. Also we discuss, with practical system design problems, how useful the parameters are for efficient system design.</description><subject>Applied sciences</subject><subject>Bandwidth</subject><subject>Channels</subject><subject>Coherence bandwidth</subject><subject>correlation time</subject><subject>Covariance</subject><subject>Delay effects</subject><subject>Electromagnetic scattering</subject><subject>Exact sciences and technology</subject><subject>Fading</subject><subject>Frequency</subject><subject>frequency selectivity</subject><subject>Mean square values</subject><subject>Mobile communication</subject><subject>normalized frequency mean square covariance (NFMSV)</subject><subject>normalized frequency-time mean square covariance (NFTMSV)</subject><subject>normalized mean square covariance (NMSV)</subject><subject>normalized time mean square covariance (NTMSV)</subject><subject>Root mean square</subject><subject>root mean square (rms) delay spread</subject><subject>Scattering functions</subject><subject>Selectivity</subject><subject>Shadow mapping</subject><subject>Statistics</subject><subject>System performance</subject><subject>Systems design</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>time selectivity</subject><subject>Transmission and modulation (techniques and equipments)</subject><subject>wide-sense stationary uncorrelated scattering (WSSUS) channel</subject><subject>Wireless communication</subject><issn>1536-1276</issn><issn>1558-2248</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kE1Lw0AQhoMoqNWzBy9BUE9pM_u93qT4BYKHVjwu082EpuRDd1PB_npTKggePM3APO8L8yTJGeRjgNxO5m_TMctzMTaC50LtJUcgpckYE2Z_u3OVAdPqMDmOcZXnoJWUR8nddIkBfU-h2mBfdW3alenbbPY6S_0S25bqeJO2XWiwrjZUpA1hm8aPNQZKffeJocLW00lyUGId6fRnjpLX-7v59DF7fnl4mt4-Z14I3WcKwBTE9YKsIFsUQjIJi6IwJXjLTYGgkHRZCEOKebawXCu0REKVSnpCPkqud73voftYU-xdU0VPdY0tdevoLAg1fA8wkFf_kkxbY4UUA3jxB1x169AOXzijLGMc1LZtsoN86GIMVLr3UDUYvhzkbmvfDfbd1r7b2R8Slz-1GD3WZRg0VfE3poFJLfnAne-4ioh-zxIYgObf5AGMsA</recordid><startdate>20050701</startdate><enddate>20050701</enddate><creator>Do-Sik Yoo</creator><creator>Stark, W.E.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</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><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20050701</creationdate><title>Characterization of WSSUS channels: normalized mean square covariance</title><author>Do-Sik Yoo ; Stark, W.E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c447t-6118de37be94e9dd45251bdd8f1c938da16ae7fd48e62c2b9376a9ee46f65cea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Applied sciences</topic><topic>Bandwidth</topic><topic>Channels</topic><topic>Coherence bandwidth</topic><topic>correlation time</topic><topic>Covariance</topic><topic>Delay effects</topic><topic>Electromagnetic scattering</topic><topic>Exact sciences and technology</topic><topic>Fading</topic><topic>Frequency</topic><topic>frequency selectivity</topic><topic>Mean square values</topic><topic>Mobile communication</topic><topic>normalized frequency mean square covariance (NFMSV)</topic><topic>normalized frequency-time mean square covariance (NFTMSV)</topic><topic>normalized mean square covariance (NMSV)</topic><topic>normalized time mean square covariance (NTMSV)</topic><topic>Root mean square</topic><topic>root mean square (rms) delay spread</topic><topic>Scattering functions</topic><topic>Selectivity</topic><topic>Shadow mapping</topic><topic>Statistics</topic><topic>System performance</topic><topic>Systems design</topic><topic>Systems, networks and services of telecommunications</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>time selectivity</topic><topic>Transmission and modulation (techniques and equipments)</topic><topic>wide-sense stationary uncorrelated scattering (WSSUS) channel</topic><topic>Wireless communication</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Do-Sik Yoo</creatorcontrib><creatorcontrib>Stark, W.E.</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>Pascal-Francis</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><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on wireless communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Do-Sik Yoo</au><au>Stark, W.E.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterization of WSSUS channels: normalized mean square covariance</atitle><jtitle>IEEE transactions on wireless communications</jtitle><stitle>TWC</stitle><date>2005-07-01</date><risdate>2005</risdate><volume>4</volume><issue>4</issue><spage>1575</spage><epage>1584</epage><pages>1575-1584</pages><issn>1536-1276</issn><eissn>1558-2248</eissn><coden>ITWCAX</coden><abstract>A set of second-order statistics collectively called normalized mean square covariance (NMSV) are defined to characterize the frequency and/or the time selectivity of wide-sense stationary uncorrelated scattering (WSSUS) channels. Normalized frequency mean square covariance (NFMSV) quantifies the frequency selectivity, while normalized time mean square covariance (NTMSV) characterizes the time selectivity. Normalized frequency-time mean square covariance is defined to characterize the combined effect of frequency and time selectivities. The NMSVs of a WSSUS channel can be computed easily from the scattering function. We show that there is a very close relationship between the NMSV of a WSSUS channel and the performance of various diversity combing schemes. Also we discuss, with practical system design problems, how useful the parameters are for efficient system design.</abstract><cop>Piscataway, NJ</cop><pub>IEEE</pub><doi>10.1109/TWC.2004.843046</doi><tpages>10</tpages></addata></record> |
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| subjects | Applied sciences Bandwidth Channels Coherence bandwidth correlation time Covariance Delay effects Electromagnetic scattering Exact sciences and technology Fading Frequency frequency selectivity Mean square values Mobile communication normalized frequency mean square covariance (NFMSV) normalized frequency-time mean square covariance (NFTMSV) normalized mean square covariance (NMSV) normalized time mean square covariance (NTMSV) Root mean square root mean square (rms) delay spread Scattering functions Selectivity Shadow mapping Statistics System performance Systems design Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory time selectivity Transmission and modulation (techniques and equipments) wide-sense stationary uncorrelated scattering (WSSUS) channel Wireless communication |
| title | Characterization of WSSUS channels: normalized mean square covariance |
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