A Block-based LMS using the Walsh Transform for Digital Predistortion of Power Amplifiers
A novel non-linear adaptive filter for the linearization of Radio Frequency (RF) Power Amplifiers (PAs) is presented. In this study, we aim at reducing the Digital Predistortion (DPD) complexity and enhancing its convergence speed for reduced computation time. The Walsh Transform is used as a comput...
Gespeichert in:
| Veröffentlicht in: | IEEE transactions on communications 2023-10, Vol.71 (10), p.1-1 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 1 |
|---|---|
| container_issue | 10 |
| container_start_page | 1 |
| container_title | IEEE transactions on communications |
| container_volume | 71 |
| creator | Fellmann, Maxandre Rivet, Francois Deltimple, Nathalie Kerherve, Eric Lapuyade, Herve Deval, Yann |
| description | A novel non-linear adaptive filter for the linearization of Radio Frequency (RF) Power Amplifiers (PAs) is presented. In this study, we aim at reducing the Digital Predistortion (DPD) complexity and enhancing its convergence speed for reduced computation time. The Walsh Transform is used as a computational basis for evaluating a predistorter (PD) model. The mathematical properties of the Walsh theory are exploited to adapt a memory polynomial (MP) in the sequency domain. A block-based Walsh LMS is introduced to seek the optimal PD coefficients. Simulations and results of linearization of class-AB PAs are exhibited. The comparison with conventional DPD algorithms shows that the proposed method converges 10 times faster with a reduction of 12% of the complexity for similar accuracy. Finally, a complete DPD architecture based on the Walsh Transform is proposed. |
| doi_str_mv | 10.1109/TCOMM.2023.3294959 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_hal_p</sourceid><recordid>TN_cdi_proquest_journals_2878500467</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>10182343</ieee_id><sourcerecordid>2878500467</sourcerecordid><originalsourceid>FETCH-LOGICAL-c325t-2066d99f0f73ff5e34573f2eb83480a925eaac8aa3a3c26e67130daf7eb8f7993</originalsourceid><addsrcrecordid>eNpNkF1LQyEYgCUKWqs_EF0IXXVx1qsej3q51idsbNAiuhI702adzaVnRf8-1yK6UZHneXl5EDom0CME1Pl0MB6NehQo6zGqSsXVDuoQzmUBkotd1AFQUFRCyH10kNIrAJTAWAc99fFFE-q34tkkO8PD0T1eJ798we3c4kfTpDmeRrNMLsQFzge-9C--NQ2eRDvzqQ2x9WGJg8OT8Gkj7i9WjXfexnSI9lz27dHv3UUP11fTwW0xHN_cDfrDomaUtwWFqpop5cAJ5hy3rOT5Qe2zZKUEoyi3xtTSGGZYTStbCcJgZpzIhBNKsS46286dm0avol-Y-KWD8fq2P9SbPyhJlS36QTJ7umVXMbyvbWr1a1jHZV5PUykkz1UqkSm6peoYUorW_Y0loDe59U9uvcmtf3Nn6WQreWvtP4FIykrGvgE93nqj</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2878500467</pqid></control><display><type>article</type><title>A Block-based LMS using the Walsh Transform for Digital Predistortion of Power Amplifiers</title><source>IEEE Electronic Library (IEL)</source><creator>Fellmann, Maxandre ; Rivet, Francois ; Deltimple, Nathalie ; Kerherve, Eric ; Lapuyade, Herve ; Deval, Yann</creator><creatorcontrib>Fellmann, Maxandre ; Rivet, Francois ; Deltimple, Nathalie ; Kerherve, Eric ; Lapuyade, Herve ; Deval, Yann</creatorcontrib><description>A novel non-linear adaptive filter for the linearization of Radio Frequency (RF) Power Amplifiers (PAs) is presented. In this study, we aim at reducing the Digital Predistortion (DPD) complexity and enhancing its convergence speed for reduced computation time. The Walsh Transform is used as a computational basis for evaluating a predistorter (PD) model. The mathematical properties of the Walsh theory are exploited to adapt a memory polynomial (MP) in the sequency domain. A block-based Walsh LMS is introduced to seek the optimal PD coefficients. Simulations and results of linearization of class-AB PAs are exhibited. The comparison with conventional DPD algorithms shows that the proposed method converges 10 times faster with a reduction of 12% of the complexity for similar accuracy. Finally, a complete DPD architecture based on the Walsh Transform is proposed.</description><identifier>ISSN: 0090-6778</identifier><identifier>EISSN: 1558-0857</identifier><identifier>DOI: 10.1109/TCOMM.2023.3294959</identifier><identifier>CODEN: IECMBT</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Adaptation models ; Adaptive filters ; Algorithms ; Complexity ; Convergence ; Convolution ; Digital Predistortion ; Engineering Sciences ; Linearization ; Mathematical models ; Non-linear Adaptive Filtering ; Polynomials ; Power Amplifier (PA) ; Power amplifiers ; Radio frequency ; Spectral analysis ; Transforms ; Walsh Transform ; Walsh transforms</subject><ispartof>IEEE transactions on communications, 2023-10, Vol.71 (10), p.1-1</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023</rights><rights>Attribution</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c325t-2066d99f0f73ff5e34573f2eb83480a925eaac8aa3a3c26e67130daf7eb8f7993</cites><orcidid>0000-0002-7358-8904 ; 0000-0001-8569-3181 ; 0000-0002-6003-4208 ; 0000-0001-6369-7544 ; 0000-0003-4735-0350</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10182343$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,796,885,27924,27925,54758</link.rule.ids><backlink>$$Uhttps://hal.science/hal-04166712$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Fellmann, Maxandre</creatorcontrib><creatorcontrib>Rivet, Francois</creatorcontrib><creatorcontrib>Deltimple, Nathalie</creatorcontrib><creatorcontrib>Kerherve, Eric</creatorcontrib><creatorcontrib>Lapuyade, Herve</creatorcontrib><creatorcontrib>Deval, Yann</creatorcontrib><title>A Block-based LMS using the Walsh Transform for Digital Predistortion of Power Amplifiers</title><title>IEEE transactions on communications</title><addtitle>TCOMM</addtitle><description>A novel non-linear adaptive filter for the linearization of Radio Frequency (RF) Power Amplifiers (PAs) is presented. In this study, we aim at reducing the Digital Predistortion (DPD) complexity and enhancing its convergence speed for reduced computation time. The Walsh Transform is used as a computational basis for evaluating a predistorter (PD) model. The mathematical properties of the Walsh theory are exploited to adapt a memory polynomial (MP) in the sequency domain. A block-based Walsh LMS is introduced to seek the optimal PD coefficients. Simulations and results of linearization of class-AB PAs are exhibited. The comparison with conventional DPD algorithms shows that the proposed method converges 10 times faster with a reduction of 12% of the complexity for similar accuracy. Finally, a complete DPD architecture based on the Walsh Transform is proposed.</description><subject>Adaptation models</subject><subject>Adaptive filters</subject><subject>Algorithms</subject><subject>Complexity</subject><subject>Convergence</subject><subject>Convolution</subject><subject>Digital Predistortion</subject><subject>Engineering Sciences</subject><subject>Linearization</subject><subject>Mathematical models</subject><subject>Non-linear Adaptive Filtering</subject><subject>Polynomials</subject><subject>Power Amplifier (PA)</subject><subject>Power amplifiers</subject><subject>Radio frequency</subject><subject>Spectral analysis</subject><subject>Transforms</subject><subject>Walsh Transform</subject><subject>Walsh transforms</subject><issn>0090-6778</issn><issn>1558-0857</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><recordid>eNpNkF1LQyEYgCUKWqs_EF0IXXVx1qsej3q51idsbNAiuhI702adzaVnRf8-1yK6UZHneXl5EDom0CME1Pl0MB6NehQo6zGqSsXVDuoQzmUBkotd1AFQUFRCyH10kNIrAJTAWAc99fFFE-q34tkkO8PD0T1eJ798we3c4kfTpDmeRrNMLsQFzge-9C--NQ2eRDvzqQ2x9WGJg8OT8Gkj7i9WjXfexnSI9lz27dHv3UUP11fTwW0xHN_cDfrDomaUtwWFqpop5cAJ5hy3rOT5Qe2zZKUEoyi3xtTSGGZYTStbCcJgZpzIhBNKsS46286dm0avol-Y-KWD8fq2P9SbPyhJlS36QTJ7umVXMbyvbWr1a1jHZV5PUykkz1UqkSm6peoYUorW_Y0loDe59U9uvcmtf3Nn6WQreWvtP4FIykrGvgE93nqj</recordid><startdate>20231001</startdate><enddate>20231001</enddate><creator>Fellmann, Maxandre</creator><creator>Rivet, Francois</creator><creator>Deltimple, Nathalie</creator><creator>Kerherve, Eric</creator><creator>Lapuyade, Herve</creator><creator>Deval, Yann</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><general>Institute of Electrical and Electronics Engineers</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope><scope>1XC</scope><scope>VOOES</scope><orcidid>https://orcid.org/0000-0002-7358-8904</orcidid><orcidid>https://orcid.org/0000-0001-8569-3181</orcidid><orcidid>https://orcid.org/0000-0002-6003-4208</orcidid><orcidid>https://orcid.org/0000-0001-6369-7544</orcidid><orcidid>https://orcid.org/0000-0003-4735-0350</orcidid></search><sort><creationdate>20231001</creationdate><title>A Block-based LMS using the Walsh Transform for Digital Predistortion of Power Amplifiers</title><author>Fellmann, Maxandre ; Rivet, Francois ; Deltimple, Nathalie ; Kerherve, Eric ; Lapuyade, Herve ; Deval, Yann</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c325t-2066d99f0f73ff5e34573f2eb83480a925eaac8aa3a3c26e67130daf7eb8f7993</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Adaptation models</topic><topic>Adaptive filters</topic><topic>Algorithms</topic><topic>Complexity</topic><topic>Convergence</topic><topic>Convolution</topic><topic>Digital Predistortion</topic><topic>Engineering Sciences</topic><topic>Linearization</topic><topic>Mathematical models</topic><topic>Non-linear Adaptive Filtering</topic><topic>Polynomials</topic><topic>Power Amplifier (PA)</topic><topic>Power amplifiers</topic><topic>Radio frequency</topic><topic>Spectral analysis</topic><topic>Transforms</topic><topic>Walsh Transform</topic><topic>Walsh transforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fellmann, Maxandre</creatorcontrib><creatorcontrib>Rivet, Francois</creatorcontrib><creatorcontrib>Deltimple, Nathalie</creatorcontrib><creatorcontrib>Kerherve, Eric</creatorcontrib><creatorcontrib>Lapuyade, Herve</creatorcontrib><creatorcontrib>Deval, Yann</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><jtitle>IEEE transactions on communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Fellmann, Maxandre</au><au>Rivet, Francois</au><au>Deltimple, Nathalie</au><au>Kerherve, Eric</au><au>Lapuyade, Herve</au><au>Deval, Yann</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Block-based LMS using the Walsh Transform for Digital Predistortion of Power Amplifiers</atitle><jtitle>IEEE transactions on communications</jtitle><stitle>TCOMM</stitle><date>2023-10-01</date><risdate>2023</risdate><volume>71</volume><issue>10</issue><spage>1</spage><epage>1</epage><pages>1-1</pages><issn>0090-6778</issn><eissn>1558-0857</eissn><coden>IECMBT</coden><abstract>A novel non-linear adaptive filter for the linearization of Radio Frequency (RF) Power Amplifiers (PAs) is presented. In this study, we aim at reducing the Digital Predistortion (DPD) complexity and enhancing its convergence speed for reduced computation time. The Walsh Transform is used as a computational basis for evaluating a predistorter (PD) model. The mathematical properties of the Walsh theory are exploited to adapt a memory polynomial (MP) in the sequency domain. A block-based Walsh LMS is introduced to seek the optimal PD coefficients. Simulations and results of linearization of class-AB PAs are exhibited. The comparison with conventional DPD algorithms shows that the proposed method converges 10 times faster with a reduction of 12% of the complexity for similar accuracy. Finally, a complete DPD architecture based on the Walsh Transform is proposed.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TCOMM.2023.3294959</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-7358-8904</orcidid><orcidid>https://orcid.org/0000-0001-8569-3181</orcidid><orcidid>https://orcid.org/0000-0002-6003-4208</orcidid><orcidid>https://orcid.org/0000-0001-6369-7544</orcidid><orcidid>https://orcid.org/0000-0003-4735-0350</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0090-6778 |
| ispartof | IEEE transactions on communications, 2023-10, Vol.71 (10), p.1-1 |
| issn | 0090-6778 1558-0857 |
| language | eng |
| recordid | cdi_proquest_journals_2878500467 |
| source | IEEE Electronic Library (IEL) |
| subjects | Adaptation models Adaptive filters Algorithms Complexity Convergence Convolution Digital Predistortion Engineering Sciences Linearization Mathematical models Non-linear Adaptive Filtering Polynomials Power Amplifier (PA) Power amplifiers Radio frequency Spectral analysis Transforms Walsh Transform Walsh transforms |
| title | A Block-based LMS using the Walsh Transform for Digital Predistortion of Power Amplifiers |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T07%3A49%3A06IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Block-based%20LMS%20using%20the%20Walsh%20Transform%20for%20Digital%20Predistortion%20of%20Power%20Amplifiers&rft.jtitle=IEEE%20transactions%20on%20communications&rft.au=Fellmann,%20Maxandre&rft.date=2023-10-01&rft.volume=71&rft.issue=10&rft.spage=1&rft.epage=1&rft.pages=1-1&rft.issn=0090-6778&rft.eissn=1558-0857&rft.coden=IECMBT&rft_id=info:doi/10.1109/TCOMM.2023.3294959&rft_dat=%3Cproquest_hal_p%3E2878500467%3C/proquest_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2878500467&rft_id=info:pmid/&rft_ieee_id=10182343&rfr_iscdi=true |