Separation method of predistortion for Wiener PA
Wiener PA model can be perfectly predistorted by Hammerstein model. According to the structural characteristics of these two models, A separation predistortion method was proposed. The method first separated memory subsystem and nonlinear subsystem from Wiener PA, and then got their corresponding pr...
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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2005-01-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/74668549/ |
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author | CHEN Kai-ya WANG Min-xi |
author_facet | CHEN Kai-ya WANG Min-xi |
author_sort | CHEN Kai-ya |
collection | DOAJ |
description | Wiener PA model can be perfectly predistorted by Hammerstein model. According to the structural characteristics of these two models, A separation predistortion method was proposed. The method first separated memory subsystem and nonlinear subsystem from Wiener PA, and then got their corresponding predistortion subsystems by identification algorithm. At last, it combined the two subsystems to a Hammerstein system and then linearized Wiener PA. The method avoied interference between memory and nonlinear factors, This kind of interference can be found in the former methods which is not only complexity, but also leads to slow convergence speed and limited convergence precision. Simulation is made to signify that the method proposed is simple and can get more fast speed and more accurate convergence result. |
format | Article |
id | doaj-art-81a5d62cbb434d189901def72f9e2056 |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2005-01-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-81a5d62cbb434d189901def72f9e20562025-01-14T08:41:47ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2005-01-01303474668549Separation method of predistortion for Wiener PACHEN Kai-yaWANG Min-xiWiener PA model can be perfectly predistorted by Hammerstein model. According to the structural characteristics of these two models, A separation predistortion method was proposed. The method first separated memory subsystem and nonlinear subsystem from Wiener PA, and then got their corresponding predistortion subsystems by identification algorithm. At last, it combined the two subsystems to a Hammerstein system and then linearized Wiener PA. The method avoied interference between memory and nonlinear factors, This kind of interference can be found in the former methods which is not only complexity, but also leads to slow convergence speed and limited convergence precision. Simulation is made to signify that the method proposed is simple and can get more fast speed and more accurate convergence result.http://www.joconline.com.cn/zh/article/74668549/predistortionamplifier with memoryWiener modelHammerstein model |
spellingShingle | CHEN Kai-ya WANG Min-xi Separation method of predistortion for Wiener PA Tongxin xuebao predistortion amplifier with memory Wiener model Hammerstein model |
title | Separation method of predistortion for Wiener PA |
title_full | Separation method of predistortion for Wiener PA |
title_fullStr | Separation method of predistortion for Wiener PA |
title_full_unstemmed | Separation method of predistortion for Wiener PA |
title_short | Separation method of predistortion for Wiener PA |
title_sort | separation method of predistortion for wiener pa |
topic | predistortion amplifier with memory Wiener model Hammerstein model |
url | http://www.joconline.com.cn/zh/article/74668549/ |
work_keys_str_mv | AT chenkaiya separationmethodofpredistortionforwienerpa AT wangminxi separationmethodofpredistortionforwienerpa |