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A robust digital baseband predistorter constructed using memory polynomials
Power amplifiers (PAs) are inherently nonlinear devices and are used in virtually all communications systems. Digital baseband predistortion is a highly cost-effective way to linearize PAs, but most existing architectures assume that the PA has a memoryless nonlinearity. For wider bandwidth applicat...
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Published in: | IEEE transactions on communications 2004-01, Vol.52 (1), p.159-165 |
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creator | Lei Ding Zhou, G.T. Morgan, D.R. Zhengxiang Ma Kenney, J.S. Jaehyeong Kim Giardina, C.R. |
description | Power amplifiers (PAs) are inherently nonlinear devices and are used in virtually all communications systems. Digital baseband predistortion is a highly cost-effective way to linearize PAs, but most existing architectures assume that the PA has a memoryless nonlinearity. For wider bandwidth applications such as wideband code-division multiple access (WCDMA) or wideband orthogonal frequency-division multiplexing (W-OFDM), PA memory effects can no longer be ignored, and memoryless predistortion has limited effectiveness. In this paper, instead of focusing on a particular PA model and building a corresponding predistorter, we focus directly on the predistorter structure. In particular, we propose a memory polynomial model for the predistorter and implement it using an indirect learning architecture. Linearization performance is demonstrated on a three-carrier WCDMA signal. |
doi_str_mv | 10.1109/TCOMM.2003.822188 |
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Digital baseband predistortion is a highly cost-effective way to linearize PAs, but most existing architectures assume that the PA has a memoryless nonlinearity. For wider bandwidth applications such as wideband code-division multiple access (WCDMA) or wideband orthogonal frequency-division multiplexing (W-OFDM), PA memory effects can no longer be ignored, and memoryless predistortion has limited effectiveness. In this paper, instead of focusing on a particular PA model and building a corresponding predistorter, we focus directly on the predistorter structure. In particular, we propose a memory polynomial model for the predistorter and implement it using an indirect learning architecture. Linearization performance is demonstrated on a three-carrier WCDMA signal.</description><identifier>ISSN: 0090-6778</identifier><identifier>EISSN: 1558-0857</identifier><identifier>DOI: 10.1109/TCOMM.2003.822188</identifier><identifier>CODEN: IECMBT</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Bandwidth ; Baseband ; Broadband amplifiers ; Frequency division multiplexing ; Multiaccess communication ; Polynomials ; Power amplifiers ; Predistortion ; Robustness ; Wideband</subject><ispartof>IEEE transactions on communications, 2004-01, Vol.52 (1), p.159-165</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2004</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c435t-b7b8f1f950a718f24bb5ed57ad4cc65899bf472d53202ae5f5f35f7b5a03f4763</citedby><cites>FETCH-LOGICAL-c435t-b7b8f1f950a718f24bb5ed57ad4cc65899bf472d53202ae5f5f35f7b5a03f4763</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1264205$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,54796</link.rule.ids></links><search><creatorcontrib>Lei Ding</creatorcontrib><creatorcontrib>Zhou, G.T.</creatorcontrib><creatorcontrib>Morgan, D.R.</creatorcontrib><creatorcontrib>Zhengxiang Ma</creatorcontrib><creatorcontrib>Kenney, J.S.</creatorcontrib><creatorcontrib>Jaehyeong Kim</creatorcontrib><creatorcontrib>Giardina, C.R.</creatorcontrib><title>A robust digital baseband predistorter constructed using memory polynomials</title><title>IEEE transactions on communications</title><addtitle>TCOMM</addtitle><description>Power amplifiers (PAs) are inherently nonlinear devices and are used in virtually all communications systems. Digital baseband predistortion is a highly cost-effective way to linearize PAs, but most existing architectures assume that the PA has a memoryless nonlinearity. For wider bandwidth applications such as wideband code-division multiple access (WCDMA) or wideband orthogonal frequency-division multiplexing (W-OFDM), PA memory effects can no longer be ignored, and memoryless predistortion has limited effectiveness. In this paper, instead of focusing on a particular PA model and building a corresponding predistorter, we focus directly on the predistorter structure. In particular, we propose a memory polynomial model for the predistorter and implement it using an indirect learning architecture. Linearization performance is demonstrated on a three-carrier WCDMA signal.</description><subject>Bandwidth</subject><subject>Baseband</subject><subject>Broadband amplifiers</subject><subject>Frequency division multiplexing</subject><subject>Multiaccess communication</subject><subject>Polynomials</subject><subject>Power amplifiers</subject><subject>Predistortion</subject><subject>Robustness</subject><subject>Wideband</subject><issn>0090-6778</issn><issn>1558-0857</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><recordid>eNpdkDtPwzAUhS0EEqXwAxBLxMCWcv1KnBFVvESrLmW27MSuXCVxsJ2h_56UIiExneF-5-jqQ-gWwwJjqB63y816vSAAdCEIwUKcoRnmXOQgeHmOZgAV5EVZikt0FeMeABhQOkMfT1nweowpa9zOJdVmWkWjVd9kQzCNi8mHZEJW-z6mMNbJNNkYXb_LOtP5cMgG3x563znVxmt0YacwN785R58vz9vlW77avL4vn1Z5zShPuS61sNhWHFSJhSVMa24aXqqG1XXBRVVpy0rScEqAKMMtt5TbUnMFdDoUdI4eTrtD8F-jiUl2LtambVVv_BglEXxSwPAE3v8D934M_fSbFIJBxXhRTRA-QXXwMQZj5RBcp8JBYpBHt_LHrTy6lSe3U-fu1HHGmD-eFIwAp987wnZT</recordid><startdate>200401</startdate><enddate>200401</enddate><creator>Lei Ding</creator><creator>Zhou, G.T.</creator><creator>Morgan, D.R.</creator><creator>Zhengxiang Ma</creator><creator>Kenney, J.S.</creator><creator>Jaehyeong Kim</creator><creator>Giardina, C.R.</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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Digital baseband predistortion is a highly cost-effective way to linearize PAs, but most existing architectures assume that the PA has a memoryless nonlinearity. For wider bandwidth applications such as wideband code-division multiple access (WCDMA) or wideband orthogonal frequency-division multiplexing (W-OFDM), PA memory effects can no longer be ignored, and memoryless predistortion has limited effectiveness. In this paper, instead of focusing on a particular PA model and building a corresponding predistorter, we focus directly on the predistorter structure. In particular, we propose a memory polynomial model for the predistorter and implement it using an indirect learning architecture. Linearization performance is demonstrated on a three-carrier WCDMA signal.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TCOMM.2003.822188</doi><tpages>7</tpages></addata></record> |
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subjects | Bandwidth Baseband Broadband amplifiers Frequency division multiplexing Multiaccess communication Polynomials Power amplifiers Predistortion Robustness Wideband |
title | A robust digital baseband predistorter constructed using memory polynomials |
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