A New Blind Equalization Method Based on Negentropy Minimization for Constant Modulus Signals
A new blind adaptive equalization method for constant modulus signals based on minimizing the approximate negentropy of the estimation error for a finite-length equalizer is presented. We consider the approximate negentropy using nonpolynomial expansions of the estimation error as a new performance...
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| Veröffentlicht in: | IEICE Transactions on Communications 2008/04/01, Vol.E91.B(4), pp.1207-1210 |
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| container_title | IEICE Transactions on Communications |
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| creator | CHOI, Sooyong CHUNG, Jong-Moon JEONG, Wun-Cheol |
| description | A new blind adaptive equalization method for constant modulus signals based on minimizing the approximate negentropy of the estimation error for a finite-length equalizer is presented. We consider the approximate negentropy using nonpolynomial expansions of the estimation error as a new performance criterion to improve the performance of a linear equalizer using the conventional constant modulus algorithm (CMA). Negentropy includes higher order statistical information and its minimization provides improved convergence, performance, and accuracy compared to traditional methods, such as the CMA, in terms of the bit error rate (BER). Also, the proposed equalizer shows faster convergence characteristics than the CMA equalizer and is more robust to nonlinear distortion than the CMA equalizer. |
| doi_str_mv | 10.1093/ietcom/e91-b.4.1207 |
| format | Article |
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We consider the approximate negentropy using nonpolynomial expansions of the estimation error as a new performance criterion to improve the performance of a linear equalizer using the conventional constant modulus algorithm (CMA). Negentropy includes higher order statistical information and its minimization provides improved convergence, performance, and accuracy compared to traditional methods, such as the CMA, in terms of the bit error rate (BER). 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Commun.</addtitle><description>A new blind adaptive equalization method for constant modulus signals based on minimizing the approximate negentropy of the estimation error for a finite-length equalizer is presented. We consider the approximate negentropy using nonpolynomial expansions of the estimation error as a new performance criterion to improve the performance of a linear equalizer using the conventional constant modulus algorithm (CMA). Negentropy includes higher order statistical information and its minimization provides improved convergence, performance, and accuracy compared to traditional methods, such as the CMA, in terms of the bit error rate (BER). Also, the proposed equalizer shows faster convergence characteristics than the CMA equalizer and is more robust to nonlinear distortion than the CMA equalizer.</description><subject>Applied sciences</subject><subject>Approximation</subject><subject>blind equalization</subject><subject>Blinds</subject><subject>constant modulus algorithm</subject><subject>Convergence</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Equalization</subject><subject>Equalizers</subject><subject>Exact sciences and technology</subject><subject>information theoretic learning</subject><subject>Information theory</subject><subject>Information, signal and communications theory</subject><subject>Minimization</subject><subject>negentropy</subject><subject>Optimization</subject><subject>Performance enhancement</subject><subject>Signal and communications theory</subject><subject>Signal, noise</subject><subject>Telecommunications and information theory</subject><issn>0916-8516</issn><issn>1745-1345</issn><issn>1745-1345</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><recordid>eNo9kE1vEzEURS0EEqHwC9h4g1hNanvs-Vg2UUormrIAlsh6Y79JXU3s1PYIlV-Po7RZXT3p3PukQ8hnzpac9fWlw2zC_hJ7Xg1LueSCtW_IgrdSVbyW6i1ZsJ43Vad48558SOmRMd4JLhbkzxW9x790NTlv6eZphsn9g-yCp1vMD8HSFSS0tNz3uEOfYzg8063zbv_KjSHSdfApg890G-w8zYn-dDsPU_pI3o0l8NNLXpDf15tf65vq7se32_XVXWWkErniOAxCYQMdF70YOt4I2aIREphE2w2dbAcpBdhWQG9rw0YroLOWKc6VNaK-IF9Pu4cYnmZMWe9dMjhN4DHMSXeyl0o2oi5kfSJNDClFHPUhuj3EZ82ZPrrUJ5e6uNSDlvrosrS-vOxDMjCNEbxx6VwVTDRNz1Thvp-4x6Jjh2cAYnZmQp1LMR3XN2V9VdZf8_jlTJkHiBp9_R8Hz5K2</recordid><startdate>2008</startdate><enddate>2008</enddate><creator>CHOI, Sooyong</creator><creator>CHUNG, Jong-Moon</creator><creator>JEONG, Wun-Cheol</creator><general>The Institute of Electronics, Information and Communication Engineers</general><general>Oxford University Press</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>2008</creationdate><title>A New Blind Equalization Method Based on Negentropy Minimization for Constant Modulus Signals</title><author>CHOI, Sooyong ; CHUNG, Jong-Moon ; JEONG, Wun-Cheol</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c452t-1ebb25e6a81292b816247ec24a04ed8b847b442ad72a9d3c0fd2a8dd05115dc23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Applied sciences</topic><topic>Approximation</topic><topic>blind equalization</topic><topic>Blinds</topic><topic>constant modulus algorithm</topic><topic>Convergence</topic><topic>Detection, estimation, filtering, equalization, prediction</topic><topic>Equalization</topic><topic>Equalizers</topic><topic>Exact sciences and technology</topic><topic>information theoretic learning</topic><topic>Information theory</topic><topic>Information, signal and communications theory</topic><topic>Minimization</topic><topic>negentropy</topic><topic>Optimization</topic><topic>Performance enhancement</topic><topic>Signal and communications theory</topic><topic>Signal, noise</topic><topic>Telecommunications and information theory</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>CHOI, Sooyong</creatorcontrib><creatorcontrib>CHUNG, Jong-Moon</creatorcontrib><creatorcontrib>JEONG, Wun-Cheol</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEICE Transactions on Communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>CHOI, Sooyong</au><au>CHUNG, Jong-Moon</au><au>JEONG, Wun-Cheol</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A New Blind Equalization Method Based on Negentropy Minimization for Constant Modulus Signals</atitle><jtitle>IEICE Transactions on Communications</jtitle><addtitle>IEICE Trans. Commun.</addtitle><date>2008</date><risdate>2008</risdate><volume>E91.B</volume><issue>4</issue><spage>1207</spage><epage>1210</epage><pages>1207-1210</pages><issn>0916-8516</issn><issn>1745-1345</issn><eissn>1745-1345</eissn><abstract>A new blind adaptive equalization method for constant modulus signals based on minimizing the approximate negentropy of the estimation error for a finite-length equalizer is presented. We consider the approximate negentropy using nonpolynomial expansions of the estimation error as a new performance criterion to improve the performance of a linear equalizer using the conventional constant modulus algorithm (CMA). Negentropy includes higher order statistical information and its minimization provides improved convergence, performance, and accuracy compared to traditional methods, such as the CMA, in terms of the bit error rate (BER). 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| ispartof | IEICE Transactions on Communications, 2008/04/01, Vol.E91.B(4), pp.1207-1210 |
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| subjects | Applied sciences Approximation blind equalization Blinds constant modulus algorithm Convergence Detection, estimation, filtering, equalization, prediction Equalization Equalizers Exact sciences and technology information theoretic learning Information theory Information, signal and communications theory Minimization negentropy Optimization Performance enhancement Signal and communications theory Signal, noise Telecommunications and information theory |
| title | A New Blind Equalization Method Based on Negentropy Minimization for Constant Modulus Signals |
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