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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Bibliographic Details
Main Authors: CHEN Kai-ya, WANG Min-xi
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2005-01-01
Series:Tongxin xuebao
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Online Access:http://www.joconline.com.cn/zh/article/74668549/
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Summary: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.
ISSN:1000-436X