The Simulation Analysis of Nonlinear for a Power Amplifier with Memory Effects
| Autor: | Sheng Liu, Jin-qiu Lv, Xiao-ming You |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Control and Optimization
Computer Networks and Communications Computer science Amplifier Predistortion Computer Science Applications Power (physics) Human-Computer Interaction Nonlinear system Artificial Intelligence Nonlinear distortion Linearization Control theory Modeling and Simulation Signal Processing Baseband Linear amplifier |
| Zdroj: | International Journal of Intelligent Systems and Applications. 6:20-26 |
| ISSN: | 2074-9058 2074-904X |
| DOI: | 10.5815/ijisa.2014.10.03 |
| Popis: | For the nonlinear distortion problem of current power amplifiers (PAs) with memory effects, we use goal programming to present a memoryless predistorter matrix model based on limiting baseband predistortion technique, and the normalized mean squared error (NMSE) is limited in a satisfactory range while the output power is maximum. Then we propose a nonlinear power amplifier with memory effects based on back propagation neural network (BPNN) with three tapped delay nodes and six single hidden layer nodes, which is single input - dual output. Simulation results show that the method proposed in this paper makes the experimental precision higher. Further, the linearization effect of power amplifiers becomes better. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|