Neural Network based Power Amplifier Dynamic Modeling for Wireless Communications
In This paper we present the Neural Network (NN) based dynamic Power Amplifier (PA) modeling with memory effect.We developedThis model with System Generator for DSP by Xilinx that could he implemented on DSP chip. The advantage of our System Generator based model is to develop highly parallel systems with the most advanced FPGAs,providing system modeling and automatic code generation from Simulink and MATLAB. Our real time modeling method can be adapted for any kind of latest signal type such as cdma-2000 and WCDMA without any modification of the model and can he adapted to any environmental change such as temperature variation in PA without modify the model. That means our real time model is self adaptable. By usingThis method We can do a modeling dynamically the non linearity of the PA including memory effects for realistic modulation signals inputs,In This paper,by using our modeling architecture We demonstrate to have an almost same dynamic AM-AM and AM-PM curves of PA.
Power amplifier Neural networks memory effects
Mohamed Doufana Chan Wang Park
Université du Québec à Rimouski Electrical Engineering,300 Ursuline Rimouski,Québec,Canada G5L 3A1,
国际会议
2008 International Conference on Microwave and Millimeter Wave Technology(2008国际微波毫米波技术会议)
南京
英文
150-153
2008-04-21（万方平台首次上网日期，不代表论文的发表时间）