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Identification of Optimal Generalized Memory Polynomial Structure of RF Power Amplifiers Using Artificial Bee Colony optimization

Publication Type : Conference Paper

Source : 2020 International Conference on Communication and Signal Processing (ICCSP), IEEE, Chennai, India (2020)

Url : https://ieeexplore.ieee.org/document/9182317

Campus : Bengaluru

School : School of Engineering

Department : Electronics and Communication

Year : 2020

Abstract : This article presents a new approach to determine the optimal behavioral model of a nonlinear radio frequency power amplifier (RF PA) using artificial bee colony (ABC) optimization. The proposed approach, enables us to derive optimal PA models in a short time, thereby saving valuable computational time and resources. The efficiency of the proposed approach is validated by modeling the behavior of a class AB amplifier using an optimal generalised memory polynomial (GMP) model determined using ABC optimization technique.

Cite this Research Publication : P. Deepak, Lohith, C. Vishnu, Ramgopal, D., Sanjika Devi R V, and Kurup, D. G., “Identification of Optimal Generalized Memory Polynomial Structure of RF Power Amplifiers Using Artificial Bee Colony optimization”, in 2020 International Conference on Communication and Signal Processing (ICCSP), Chennai, India, 2020.

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