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.

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Power Amplifier, Predistortion Technique, Goal Programming, Tapped Delay, Back Propagation Neural Networks

Короткий адрес: https://sciup.org/15010611

IDR: 15010611

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