C30. Enhancement of OFDM modulation and adaptive array beamforming using discrete wavelet transform
The adaptive array antenna is combined with OFDM "orthogonal frequency division multiplexing" as multicarrier technique to combat the flat and frequency selective fading effects at high speed wireless communication. It is well known in OFDM that a cyclic prefix (CP) is appended to each sym...
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| creator | El-Khamy, S. E. Shokry, M. |
| description | The adaptive array antenna is combined with OFDM "orthogonal frequency division multiplexing" as multicarrier technique to combat the flat and frequency selective fading effects at high speed wireless communication. It is well known in OFDM that a cyclic prefix (CP) is appended to each symbol in order to mitigate the effect of InterSymbol Interference (ISI). However, this reduces the spectral efficiency. A perfect reconstruction using discrete wavelet transmultiplexer in OFDM transceiver counters the degrading effect of ISI, and also conserves bandwidth. A discrete wavelet transform-based least mean square (WLMS) adaptive beamformer is presented in this paper, this beamformer uses wavelet transform to reduce the signal dimension in wavelet domain for low complexity and denoising. Theoretical analysis and simulations demonstrate this algorithm with better beamforming performance which converges faster than the conventional adaptive beamformer. |
| doi_str_mv | 10.1109/NRSC.2012.6208548 |
| format | Conference Proceeding |
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Enhancement of OFDM modulation and adaptive array beamforming using discrete wavelet transform</title><source>IEEE Electronic Library (IEL) Conference Proceedings</source><creator>El-Khamy, S. E. ; Shokry, M.</creator><creatorcontrib>El-Khamy, S. E. ; Shokry, M.</creatorcontrib><description>The adaptive array antenna is combined with OFDM "orthogonal frequency division multiplexing" as multicarrier technique to combat the flat and frequency selective fading effects at high speed wireless communication. It is well known in OFDM that a cyclic prefix (CP) is appended to each symbol in order to mitigate the effect of InterSymbol Interference (ISI). However, this reduces the spectral efficiency. A perfect reconstruction using discrete wavelet transmultiplexer in OFDM transceiver counters the degrading effect of ISI, and also conserves bandwidth. 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A discrete wavelet transform-based least mean square (WLMS) adaptive beamformer is presented in this paper, this beamformer uses wavelet transform to reduce the signal dimension in wavelet domain for low complexity and denoising. Theoretical analysis and simulations demonstrate this algorithm with better beamforming performance which converges faster than the conventional adaptive beamformer.</description><subject>Array signal processing</subject><subject>Discrete wavelet transforms</subject><subject>Fading</subject><subject>Least squares approximation</subject><subject>LMS</subject><subject>OFDM</subject><subject>OWDM-OFDM (Orthogonal wavelet division multiplexing based OFDM)</subject><subject>WLMS (Wavelet least mean square)</subject><isbn>1467318841</isbn><isbn>9781467318846</isbn><isbn>9781467318877</isbn><isbn>9781467318860</isbn><isbn>1467318868</isbn><isbn>1467318876</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNo1kM9KAzEYxCMiqLUPIF7yAl3zbzfZo6xtFaoF7b18Sb7VSDdbsmmlb6_FOocZfjDMYQi55azgnNX3r2_vTSEYF0UlmCmVOSPjWhuuKi25MVqfk-t_UPySjIfhi_1KM1kZc0VcI1lBp_ETosMOY6Z9S5ezxxfa9X63gRz6SCF6Ch62OeyRQkpwoBaha_vUhfhBd8PRfRhcwoz0G_a4wUxzgjgcOzfkooXNgONTjshqNl01T5PFcv7cPCwmoWZ5AlyD1lh57ZkUrdXee8WgqgEFqFLZGl3LlbMWSu2YqJGXXEqPzpZoBcoRufubDYi43qbQQTqsT7fIHxWGV_o</recordid><startdate>201204</startdate><enddate>201204</enddate><creator>El-Khamy, S. 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E. ; Shokry, M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-a17a77e6d7d032fb7ddd40a69ae2a454b9ecf14cbba57c029e15133decb5eb2e3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Array signal processing</topic><topic>Discrete wavelet transforms</topic><topic>Fading</topic><topic>Least squares approximation</topic><topic>LMS</topic><topic>OFDM</topic><topic>OWDM-OFDM (Orthogonal wavelet division multiplexing based OFDM)</topic><topic>WLMS (Wavelet least mean square)</topic><toplevel>online_resources</toplevel><creatorcontrib>El-Khamy, S. E.</creatorcontrib><creatorcontrib>Shokry, M.</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>El-Khamy, S. E.</au><au>Shokry, M.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>C30. Enhancement of OFDM modulation and adaptive array beamforming using discrete wavelet transform</atitle><btitle>2012 29th National Radio Science Conference (NRSC)</btitle><stitle>NRSC</stitle><date>2012-04</date><risdate>2012</risdate><spage>403</spage><epage>410</epage><pages>403-410</pages><isbn>1467318841</isbn><isbn>9781467318846</isbn><eisbn>9781467318877</eisbn><eisbn>9781467318860</eisbn><eisbn>1467318868</eisbn><eisbn>1467318876</eisbn><abstract>The adaptive array antenna is combined with OFDM "orthogonal frequency division multiplexing" as multicarrier technique to combat the flat and frequency selective fading effects at high speed wireless communication. It is well known in OFDM that a cyclic prefix (CP) is appended to each symbol in order to mitigate the effect of InterSymbol Interference (ISI). However, this reduces the spectral efficiency. A perfect reconstruction using discrete wavelet transmultiplexer in OFDM transceiver counters the degrading effect of ISI, and also conserves bandwidth. A discrete wavelet transform-based least mean square (WLMS) adaptive beamformer is presented in this paper, this beamformer uses wavelet transform to reduce the signal dimension in wavelet domain for low complexity and denoising. Theoretical analysis and simulations demonstrate this algorithm with better beamforming performance which converges faster than the conventional adaptive beamformer.</abstract><pub>IEEE</pub><doi>10.1109/NRSC.2012.6208548</doi><tpages>8</tpages></addata></record> |
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| identifier | ISBN: 1467318841 |
| ispartof | 2012 29th National Radio Science Conference (NRSC), 2012, p.403-410 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Array signal processing Discrete wavelet transforms Fading Least squares approximation LMS OFDM OWDM-OFDM (Orthogonal wavelet division multiplexing based OFDM) WLMS (Wavelet least mean square) |
| title | C30. Enhancement of OFDM modulation and adaptive array beamforming using discrete wavelet transform |
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