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Behavioral Modeling of Dual-band RF PAs using Real-valued Radial Basis Function Neural Networks
| Content Provider | Semantic Scholar |
|---|---|
| Author | Pfeffer, Walter B. Lima, Eduardo G. |
| Copyright Year | 2016 |
| Abstract | Behavioral modeling of single-band radio frequency power amplifiers (RFPAs) is commonly performed by real-valued radial basis function neural networks (RVRBFNNs). In behavioral modeling, the RFPA input and output data are complex-valued. Several approaches are available in literature to address the decompositions from complex-to-real and real-tocomplex. In this work, the different RVRBFNNs suitable for single-band RFPAs are extended to deal with the behavioral modeling of dual-band RFPAs. Based on a case report, a comparative analysis among 14 different realizations is presented. Keywords—behavioral modeling; neural network; power amplifier; radio frequency; wireless communications |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://sbmicro.org.br/sforum-eventos/sforum2016/25.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
