In this paper, a novel carrier frequencydependent time delay neural network (CF-dependent TDNN) model for behavioral modeling of a memory power amplifier (PA) for multi-band operation is proposed. Traditional methods such as memory polynomial and time delay neural network characterize the nonlinearity of a PA in a single wide band with multiple carriers. However, these methods cannot accurately capture the dynamic nonlinearity in multi-band transmitters. The proposed CF-dependent TDNN model can easily capture and accurately characterize the dynamic nonlinearity in a PA even when the PA is driven in more than one band of operation. Further, the CF-dependent TDNN model is developed by simultaneous training using the PA data from multiple bands, thereby making the model easier to develop and capture the nonlinearity and memory effects of a PA in multiple bands. The proposed method is validated and confirmed with simulation of a Cree RF GaN HEMT PA.

Additional Metadata
Keywords Behavioral modeling, memory effect, multi-band, power amplifier, time delay neural networks
Persistent URL dx.doi.org/10.1109/NEMO.2017.7964194
Conference 2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2017
Citation
Zhao, Z. (Zhihao), Na, W. (Weicong), Gongal-Reddy, V.-M.-R. (Venu-Madhav-Reddy), & Zhang, Q.J. (2017). Multi-band behavioral modeling of power amplifier using carrier frequency-dependent time delay neural network model. In 2017 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization for RF, Microwave, and Terahertz Applications, NEMO 2017 (pp. 82–84). doi:10.1109/NEMO.2017.7964194