Widely Linear Prediction for Blind Equalization
This paper proposes a new blind equalization scheme based on widely linear (WL) prediction. It permits to compensate non-minimum phase channels with or without spectral nulls, since the received signal can be interpreted as a convolution of a real-valued data sequence and a complex baseband channel....
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| creator | de Aquino, F.J.A. da Rocha, C.A.F. Resende, L.S. |
| description | This paper proposes a new blind equalization scheme based on widely linear (WL) prediction. It permits to compensate non-minimum phase channels with or without spectral nulls, since the received signal can be interpreted as a convolution of a real-valued data sequence and a complex baseband channel. Such a transmission model applies, for instance, to the ASK, OQAM and binary MSK-type modulations. The WL prediction technique uses a linear combination of the complex delayed samples of the received signal and its complex conjugate to predict the current sample. The proposed WL blind equalizer presents a low computational complexity and a higher convergence rate as compared to others blind equalization techniques. |
| doi_str_mv | 10.1109/ICC.2007.496 |
| format | Conference Proceeding |
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It permits to compensate non-minimum phase channels with or without spectral nulls, since the received signal can be interpreted as a convolution of a real-valued data sequence and a complex baseband channel. Such a transmission model applies, for instance, to the ASK, OQAM and binary MSK-type modulations. The WL prediction technique uses a linear combination of the complex delayed samples of the received signal and its complex conjugate to predict the current sample. The proposed WL blind equalizer presents a low computational complexity and a higher convergence rate as compared to others blind equalization techniques.</description><subject>Baseband</subject><subject>Blind equalizers</subject><subject>Communications Society</subject><subject>Computational complexity</subject><subject>Convolution</subject><subject>Finite impulse response filter</subject><subject>GSM</subject><subject>Quadrature amplitude modulation</subject><subject>Signal processing</subject><subject>Statistics</subject><issn>1550-3607</issn><issn>1938-1883</issn><isbn>9781424403530</isbn><isbn>1424403537</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2007</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotjDtPwzAURi0eEqV0Y2PJH3B6r68d2yNELVSK1A4gxsrxQzIKKSRlKL-eIFi-I50jfYzdIpSIYJebui4FgC6lrc7YDC0ZjsbQOVtYbVAKKYEUwcXUlAJOFegrdj2ObwBKWMIZW77mELtT0eQ-uqHYDTFkf8yHvkiHoXjoch-K1eeX6_K3-9U37DK5boyLf87Zy3r1XD_xZvu4qe8bnlGrI0cI2qUQlYvagm0DhNganyB4L21KpgKcVrTUGkjaWSNkClMhKchrQXN29_ebY4z7jyG_u-G0l8JYrDT9ADy-RK8</recordid><startdate>200706</startdate><enddate>200706</enddate><creator>de Aquino, F.J.A.</creator><creator>da Rocha, C.A.F.</creator><creator>Resende, L.S.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>200706</creationdate><title>Widely Linear Prediction for Blind Equalization</title><author>de Aquino, F.J.A. ; da Rocha, C.A.F. ; Resende, L.S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-10d7afde5ae7909bd0deb8cf0dcc49ff8601ff82b3b80f7a9824fd49f3423c723</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2007</creationdate><topic>Baseband</topic><topic>Blind equalizers</topic><topic>Communications Society</topic><topic>Computational complexity</topic><topic>Convolution</topic><topic>Finite impulse response filter</topic><topic>GSM</topic><topic>Quadrature amplitude modulation</topic><topic>Signal processing</topic><topic>Statistics</topic><toplevel>online_resources</toplevel><creatorcontrib>de Aquino, F.J.A.</creatorcontrib><creatorcontrib>da Rocha, C.A.F.</creatorcontrib><creatorcontrib>Resende, L.S.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>de Aquino, F.J.A.</au><au>da Rocha, C.A.F.</au><au>Resende, L.S.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Widely Linear Prediction for Blind Equalization</atitle><btitle>2007 IEEE International Conference on Communications</btitle><stitle>ICC</stitle><date>2007-06</date><risdate>2007</risdate><spage>2985</spage><epage>2990</epage><pages>2985-2990</pages><issn>1550-3607</issn><eissn>1938-1883</eissn><isbn>9781424403530</isbn><isbn>1424403537</isbn><abstract>This paper proposes a new blind equalization scheme based on widely linear (WL) prediction. It permits to compensate non-minimum phase channels with or without spectral nulls, since the received signal can be interpreted as a convolution of a real-valued data sequence and a complex baseband channel. Such a transmission model applies, for instance, to the ASK, OQAM and binary MSK-type modulations. The WL prediction technique uses a linear combination of the complex delayed samples of the received signal and its complex conjugate to predict the current sample. The proposed WL blind equalizer presents a low computational complexity and a higher convergence rate as compared to others blind equalization techniques.</abstract><pub>IEEE</pub><doi>10.1109/ICC.2007.496</doi><tpages>6</tpages></addata></record> |
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| subjects | Baseband Blind equalizers Communications Society Computational complexity Convolution Finite impulse response filter GSM Quadrature amplitude modulation Signal processing Statistics |
| title | Widely Linear Prediction for Blind Equalization |
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