| Information & Computer Science |
|
|
|
|
| Wavelet network based predistortion method for wideband RF power amplifiers exhibiting memory effects |
| JIN Zhe, SONG Zhi-huan, HE Jia-ming |
| School of Information Science and Engineering, Zhejiang University, Hangzhou 310027, China; Institute of Communication Technologies, Ningbo University, Ningbo 315211, China |
|
|
|
Abstract RF power amplifiers (PAs) are usually considered as memoryless devices in most existing predistortion techniques. Nevertheless, in wideband communication systems, PA memory effects can no longer be ignored and memoryless predistortion cannot linearize PAs effectively. After analyzing PA memory effects, a novel predistortion method based on wavelet networks (WNs) is proposed to linearize wideband RF power amplifiers. A complex wavelet network with tapped delay lines is applied to construct the predistorter and then a complex backpropagation algorithm is developed to train the predistorter parameters. The simulation results show that compared with the previously published feed-forward neural network predistortion method, the proposed method provides faster convergence rate and better performance in reducing out-of-band spectral regrowth.
|
|
Received: 21 August 2006
|
|
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
| |
Shared |
|
|
|
|
| |
Discussed |
|
|
|
|
