The Simulation Analysis of Nonlinear for a Power Amplifier with Memory Effects

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Lv. Jinqiu 1,* You. Xiaoming 1 Liu. Sheng 2

1. College of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Shanghai, 201620 China

2. College of Management, Shanghai University of Engineering Science, Shanghai, 201620 China

* Corresponding author.


Received: 10 Oct. 2013 / Revised: 28 Feb. 2014 / Accepted: 20 May 2014 / Published: 8 Sep. 2014

Index Terms

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


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.

Cite This Paper

Lv. Jinqiu, You. Xiaoming, Liu. Sheng, "The Simulation Analysis of Nonlinear for a Power Amplifier with Memory Effects", International Journal of Intelligent Systems and Applications(IJISA), vol.6, no.10, pp.20-26, 2014. DOI:10.5815/ijisa.2014.10.03


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