On the system level convergence of ILA and DLA for digital predistortion
In this paper, we present the results for system level convergence of indirect learning architecture (ILA) and direct learning architecture (DLA) for digital predistortion. We show that best performance with ILA and DLA can only be obtained if the system level identification of the power amplifier a...
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creator | Abi Hussein, Mazen Bohara, V. A. Venard, O. |
description | In this paper, we present the results for system level convergence of indirect learning architecture (ILA) and direct learning architecture (DLA) for digital predistortion. We show that best performance with ILA and DLA can only be obtained if the system level identification of the power amplifier and predistorter is done iteratively. Results are demonstrated in terms of improvement in adjacent channel power ratio (ACPR) and error vector magnitude (EVM) at the output of power amplifier (PA) with each system level iteration for both the architectures when a Long Term Evolution-Advanced (LTE-Advanced) signal is applied at the input. We also show that predistorter identification with DLA is more robust compared to ILA in presence of additive white Gaussian noise (AWGN). |
doi_str_mv | 10.1109/ISWCS.2012.6328492 |
format | Conference Proceeding |
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A. ; Venard, O.</creator><creatorcontrib>Abi Hussein, Mazen ; Bohara, V. A. ; Venard, O.</creatorcontrib><description>In this paper, we present the results for system level convergence of indirect learning architecture (ILA) and direct learning architecture (DLA) for digital predistortion. We show that best performance with ILA and DLA can only be obtained if the system level identification of the power amplifier and predistorter is done iteratively. Results are demonstrated in terms of improvement in adjacent channel power ratio (ACPR) and error vector magnitude (EVM) at the output of power amplifier (PA) with each system level iteration for both the architectures when a Long Term Evolution-Advanced (LTE-Advanced) signal is applied at the input. We also show that predistorter identification with DLA is more robust compared to ILA in presence of additive white Gaussian noise (AWGN).</description><identifier>ISSN: 2154-0217</identifier><identifier>ISBN: 9781467307611</identifier><identifier>ISBN: 1467307610</identifier><identifier>EISSN: 2154-0225</identifier><identifier>EISBN: 9781467307604</identifier><identifier>EISBN: 1467307602</identifier><identifier>EISBN: 9781467307628</identifier><identifier>EISBN: 1467307629</identifier><identifier>DOI: 10.1109/ISWCS.2012.6328492</identifier><language>eng</language><publisher>IEEE</publisher><subject>Computer architecture ; Convergence ; Digital predistortion ; high power amplifiers ; non-linear filters ; Nonlinear distortion ; Nonlinear systems ; Predistortion ; Signal to noise ratio</subject><ispartof>2012 International Symposium on Wireless Communication Systems (ISWCS), 2012, p.870-874</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6328492$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2056,27916,54911</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6328492$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Abi Hussein, Mazen</creatorcontrib><creatorcontrib>Bohara, V. A.</creatorcontrib><creatorcontrib>Venard, O.</creatorcontrib><title>On the system level convergence of ILA and DLA for digital predistortion</title><title>2012 International Symposium on Wireless Communication Systems (ISWCS)</title><addtitle>ISWCS</addtitle><description>In this paper, we present the results for system level convergence of indirect learning architecture (ILA) and direct learning architecture (DLA) for digital predistortion. We show that best performance with ILA and DLA can only be obtained if the system level identification of the power amplifier and predistorter is done iteratively. Results are demonstrated in terms of improvement in adjacent channel power ratio (ACPR) and error vector magnitude (EVM) at the output of power amplifier (PA) with each system level iteration for both the architectures when a Long Term Evolution-Advanced (LTE-Advanced) signal is applied at the input. We also show that predistorter identification with DLA is more robust compared to ILA in presence of additive white Gaussian noise (AWGN).</description><subject>Computer architecture</subject><subject>Convergence</subject><subject>Digital predistortion</subject><subject>high power amplifiers</subject><subject>non-linear filters</subject><subject>Nonlinear distortion</subject><subject>Nonlinear systems</subject><subject>Predistortion</subject><subject>Signal to noise ratio</subject><issn>2154-0217</issn><issn>2154-0225</issn><isbn>9781467307611</isbn><isbn>1467307610</isbn><isbn>9781467307604</isbn><isbn>1467307602</isbn><isbn>9781467307628</isbn><isbn>1467307629</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVkMtqwzAURNUXNKT-gXajH7ArXT29DGnTGAxZJNBl8OMqVXHsYIlA_r6GhkJh4AwcmMUQ8sxZxjnLX4vt53KbAeOQaQFW5nBDktxYLrURzGgmb8kMuJIpA1B3_xzn93-Om0eShPDN2DRl9ZQZWW96Gr-QhkuIeKQdnrGjzdCfcTxg3yAdHC3KBa36lr5NdMNIW3_wseroacTWhziM0Q_9E3lwVRcwuXJOdqv33XKdlpuPYrkoU5-zmFrTaAXQgIWaSeBaG1dLp0StmQDUgMy5WmhpK6PUVFXOW6t4rWyDQmoxJy-_sx4R96fRH6vxsr_eIn4A3zpQJg</recordid><startdate>201208</startdate><enddate>201208</enddate><creator>Abi Hussein, Mazen</creator><creator>Bohara, V. 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A. ; Venard, O.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-87c6522c282b0421667fb4f53b6032e62e0ffb3648a755ffb591d851b58ce3463</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Computer architecture</topic><topic>Convergence</topic><topic>Digital predistortion</topic><topic>high power amplifiers</topic><topic>non-linear filters</topic><topic>Nonlinear distortion</topic><topic>Nonlinear systems</topic><topic>Predistortion</topic><topic>Signal to noise ratio</topic><toplevel>online_resources</toplevel><creatorcontrib>Abi Hussein, Mazen</creatorcontrib><creatorcontrib>Bohara, V. A.</creatorcontrib><creatorcontrib>Venard, O.</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>Abi Hussein, Mazen</au><au>Bohara, V. A.</au><au>Venard, O.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>On the system level convergence of ILA and DLA for digital predistortion</atitle><btitle>2012 International Symposium on Wireless Communication Systems (ISWCS)</btitle><stitle>ISWCS</stitle><date>2012-08</date><risdate>2012</risdate><spage>870</spage><epage>874</epage><pages>870-874</pages><issn>2154-0217</issn><eissn>2154-0225</eissn><isbn>9781467307611</isbn><isbn>1467307610</isbn><eisbn>9781467307604</eisbn><eisbn>1467307602</eisbn><eisbn>9781467307628</eisbn><eisbn>1467307629</eisbn><abstract>In this paper, we present the results for system level convergence of indirect learning architecture (ILA) and direct learning architecture (DLA) for digital predistortion. We show that best performance with ILA and DLA can only be obtained if the system level identification of the power amplifier and predistorter is done iteratively. Results are demonstrated in terms of improvement in adjacent channel power ratio (ACPR) and error vector magnitude (EVM) at the output of power amplifier (PA) with each system level iteration for both the architectures when a Long Term Evolution-Advanced (LTE-Advanced) signal is applied at the input. We also show that predistorter identification with DLA is more robust compared to ILA in presence of additive white Gaussian noise (AWGN).</abstract><pub>IEEE</pub><doi>10.1109/ISWCS.2012.6328492</doi><tpages>5</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Computer architecture Convergence Digital predistortion high power amplifiers non-linear filters Nonlinear distortion Nonlinear systems Predistortion Signal to noise ratio |
title | On the system level convergence of ILA and DLA for digital predistortion |
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