Denoising based blind estimation for Single Carrier Frequency Division Multiplexing (SCFDM)
Taking into account the ad-hoc and time variant nature of orthogonal modulation communications systems, the blind estimation techniques are preferred for messages estimation. In this paper we prove that the denoising, one of the most important application of wavelets theory, can be used as blind est...
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description | Taking into account the ad-hoc and time variant nature of orthogonal modulation communications systems, the blind estimation techniques are preferred for messages estimation. In this paper we prove that the denoising, one of the most important application of wavelets theory, can be used as blind estimation method in Single Carrier Frequency Division Multiplexing (SCFDM) systems, which are used for the uplink multiple access in 3GPP Long Term Evolution (LTE) technology. The architecture of a blind estimation system is proposed, and its performances are highlighted by simulations. |
doi_str_mv | 10.1109/ISETC.2012.6408100 |
format | Conference Proceeding |
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In this paper we prove that the denoising, one of the most important application of wavelets theory, can be used as blind estimation method in Single Carrier Frequency Division Multiplexing (SCFDM) systems, which are used for the uplink multiple access in 3GPP Long Term Evolution (LTE) technology. The architecture of a blind estimation system is proposed, and its performances are highlighted by simulations.</description><subject>Bit error rate</subject><subject>Blind Estimation</subject><subject>Channel estimation</subject><subject>Communication systems</subject><subject>Denoising</subject><subject>Discrete wavelet transforms</subject><subject>Estimation</subject><subject>Noise reduction</subject><subject>OFDM</subject><subject>SCFDM</subject><subject>Wavelets</subject><isbn>1467311774</isbn><isbn>9781467311779</isbn><isbn>9781467311755</isbn><isbn>9781467311762</isbn><isbn>1467311766</isbn><isbn>1467311758</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kD1PwzAQho0QElDyB2DxCEPCnePYzogSApVaMQQmhiofF2QUkuKkiP57jCjT6dX7oUfH2CVChAjp7bK8f84iASgiJcEgwBELUm1QKh0j6iQ5Zuf_QstTFkzTOwD4skpRnrHXnIbRTnZ443U1Ucvr3g4tp2m2H9Vsx4F3o-Ol93viWeWcJccLR587Gpo9z-2XL_vUetfPdtvT9-_SdZkV-frmgp10VT9RcLgL9lJ43Mdw9fSwzO5WofWAc5hI0xhtGpC6lp2UApWoZa1IoWg7pcGkJtUJQgWyglgojcK0IlWxUXEiIV6wq79dS0SbrfPkbr85_CP-AQO9Ua4</recordid><startdate>201211</startdate><enddate>201211</enddate><creator>Mountassir, J.</creator><creator>Bosneagu, D.</creator><creator>Isar, A.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201211</creationdate><title>Denoising based blind estimation for Single Carrier Frequency Division Multiplexing (SCFDM)</title><author>Mountassir, J. ; Bosneagu, D. ; Isar, A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-548c878c047b4f442162b4b6e612df67089897510a04a03267128d29638635403</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Bit error rate</topic><topic>Blind Estimation</topic><topic>Channel estimation</topic><topic>Communication systems</topic><topic>Denoising</topic><topic>Discrete wavelet transforms</topic><topic>Estimation</topic><topic>Noise reduction</topic><topic>OFDM</topic><topic>SCFDM</topic><topic>Wavelets</topic><toplevel>online_resources</toplevel><creatorcontrib>Mountassir, J.</creatorcontrib><creatorcontrib>Bosneagu, D.</creatorcontrib><creatorcontrib>Isar, A.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Mountassir, J.</au><au>Bosneagu, D.</au><au>Isar, A.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Denoising based blind estimation for Single Carrier Frequency Division Multiplexing (SCFDM)</atitle><btitle>2012 10th International Symposium on Electronics and Telecommunications</btitle><stitle>ISETC</stitle><date>2012-11</date><risdate>2012</risdate><spage>163</spage><epage>166</epage><pages>163-166</pages><isbn>1467311774</isbn><isbn>9781467311779</isbn><eisbn>9781467311755</eisbn><eisbn>9781467311762</eisbn><eisbn>1467311766</eisbn><eisbn>1467311758</eisbn><abstract>Taking into account the ad-hoc and time variant nature of orthogonal modulation communications systems, the blind estimation techniques are preferred for messages estimation. In this paper we prove that the denoising, one of the most important application of wavelets theory, can be used as blind estimation method in Single Carrier Frequency Division Multiplexing (SCFDM) systems, which are used for the uplink multiple access in 3GPP Long Term Evolution (LTE) technology. The architecture of a blind estimation system is proposed, and its performances are highlighted by simulations.</abstract><pub>IEEE</pub><doi>10.1109/ISETC.2012.6408100</doi><tpages>4</tpages></addata></record> |
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subjects | Bit error rate Blind Estimation Channel estimation Communication systems Denoising Discrete wavelet transforms Estimation Noise reduction OFDM SCFDM Wavelets |
title | Denoising based blind estimation for Single Carrier Frequency Division Multiplexing (SCFDM) |
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