A vector constant modulus algorithm for shaped constellation equalization
The constant modulus algorithm (CMA), a popular method for performing blind equalization, has the drawback of failing when the input data has a Gaussian distribution or a kurtosis larger than three. This means that source shaping (which is used to increase the shaping gain) can produce data unequali...
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| Veröffentlicht in: | IEEE signal processing letters 1998-04, Vol.5 (4), p.89-91 |
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| container_title | IEEE signal processing letters |
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| creator | Yang, V.Y. Jones, D.L. |
| description | The constant modulus algorithm (CMA), a popular method for performing blind equalization, has the drawback of failing when the input data has a Gaussian distribution or a kurtosis larger than three. This means that source shaping (which is used to increase the shaping gain) can produce data unequalizable by CMA and other important blind equalization techniques. This paper proposes a simple extension of CMA that blindly equalizes many types of shaped constellations, including those shaped by shell mapping. |
| doi_str_mv | 10.1109/97.664175 |
| format | Article |
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This paper proposes a simple extension of CMA that blindly equalizes many types of shaped constellations, including those shaped by shell mapping.</description><subject>Blind equalizers</subject><subject>Communication channels</subject><subject>Constellation diagram</subject><subject>Frequency</subject><subject>Gaussian distribution</subject><subject>Higher order statistics</subject><subject>Modems</subject><subject>Robustness</subject><subject>Signal processing algorithms</subject><subject>Timing</subject><issn>1070-9908</issn><issn>1558-2361</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1998</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kM9LwzAcxYMoOKcHr556Ejx05ps0TXMcw-lg4EXPJc0PV2mbLUkF_evN7PD0fY_34cvjIXQLeAGAxaPgi7IsgLMzNAPGqpzQEs6TxhznQuDqEl2F8IkxrqBiM7RZZl9GRecz5YYQ5RCz3umxG0Mmuw_n27jrM5visJN7oyfKdJ2MrRsycxhl1_78mWt0YWUXzM3pztH7-ult9ZJvX583q-U2V4TzmFuqqMANtUVTKFtS3RiiMWWcMDCpuaYatBapLhSEUCaYaqwmJHnGGAE6R_fT3713h9GEWPdtUMdKg3FjqEnFMQOgCXyYQOVdCN7Yeu_bXvrvGnB9HKsWvJ7GSuzdxLbGmH_uFP4CkB5kZg</recordid><startdate>199804</startdate><enddate>199804</enddate><creator>Yang, V.Y.</creator><creator>Jones, D.L.</creator><general>IEEE</general><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>199804</creationdate><title>A vector constant modulus algorithm for shaped constellation equalization</title><author>Yang, V.Y. ; Jones, D.L.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c277t-f3c390b3f4b4cf63dbe2d0357251e641d3d1dd907014223595cbfd22701555213</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1998</creationdate><topic>Blind equalizers</topic><topic>Communication channels</topic><topic>Constellation diagram</topic><topic>Frequency</topic><topic>Gaussian distribution</topic><topic>Higher order statistics</topic><topic>Modems</topic><topic>Robustness</topic><topic>Signal processing algorithms</topic><topic>Timing</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, V.Y.</creatorcontrib><creatorcontrib>Jones, D.L.</creatorcontrib><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>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 signal processing letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Yang, V.Y.</au><au>Jones, D.L.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A vector constant modulus algorithm for shaped constellation equalization</atitle><jtitle>IEEE signal processing letters</jtitle><stitle>LSP</stitle><date>1998-04</date><risdate>1998</risdate><volume>5</volume><issue>4</issue><spage>89</spage><epage>91</epage><pages>89-91</pages><issn>1070-9908</issn><eissn>1558-2361</eissn><coden>ISPLEM</coden><abstract>The constant modulus algorithm (CMA), a popular method for performing blind equalization, has the drawback of failing when the input data has a Gaussian distribution or a kurtosis larger than three. This means that source shaping (which is used to increase the shaping gain) can produce data unequalizable by CMA and other important blind equalization techniques. This paper proposes a simple extension of CMA that blindly equalizes many types of shaped constellations, including those shaped by shell mapping.</abstract><pub>IEEE</pub><doi>10.1109/97.664175</doi><tpages>3</tpages></addata></record> |
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| ispartof | IEEE signal processing letters, 1998-04, Vol.5 (4), p.89-91 |
| issn | 1070-9908 1558-2361 |
| language | eng |
| recordid | cdi_ieee_primary_664175 |
| source | IEEE Electronic Library (IEL) |
| subjects | Blind equalizers Communication channels Constellation diagram Frequency Gaussian distribution Higher order statistics Modems Robustness Signal processing algorithms Timing |
| title | A vector constant modulus algorithm for shaped constellation equalization |
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