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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Changsoo Eun Powers, E.J. |
| Copyright Year | 1995 |
| Description | Author affiliation: Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA (Changsoo Eun; Powers, E.J.) |
| Abstract | We propose a data predistorter design scheme for a memory-less nonlinearity which is preceded by a linear system with memory. This system configuration is often found in telecommunications. The predistorter technique is useful since the compensation of the nonlinearity of high-power amplifiers allows the efficient use of the power resource and bandwidth, while maintaining the prescribed signal spectral distribution. We use either a modified indirect learning architecture or a stochastic gradient method for training the predistorters. As a predistorter structure, we use a Volterra series model or a time-delayed neural network. We apply our approach to the compensation of various nonlinear systems including TWT-type nonlinearities. The results show that our approach is very effective in compensating the memory-less nonlinearity preceded by a linear system with memory. We show the results for nonlinear systems with a TWT-type nonlinearity. |
| Starting Page | 152 |
| Ending Page | 156 |
| File Size | 724194 |
| Page Count | 5 |
| File Format | |
| ISBN | 0780325095 |
| DOI | 10.1109/GLOCOM.1995.500342 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1995-11-14 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Nonlinear dynamical systems Linear systems Nonlinear filters High power amplifiers Nonlinear systems Nonlinear distortion Radiofrequency amplifiers Transmitters Radio frequency Power electronics |
| Content Type | Text |
| Resource Type | Article |
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