The Simulation Analysis of Nonlinear for a Power Amplifier with Memory Effects
Автор: Lv. Jinqiu, You. Xiaoming, Liu. Sheng
Журнал: International Journal of Intelligent Systems and Applications(IJISA) @ijisa
Статья в выпуске: 10 vol.6, 2014 года.
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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.
Power Amplifier, Predistortion Technique, Goal Programming, Tapped Delay, Back Propagation Neural Networks
Короткий адрес: https://sciup.org/15010611
IDR: 15010611
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