Behavioral Modeling | Jose Alejandro Galaviz-Aguilar

Power Amplifier Modeling Comparison for Highly and Sparse Nonlinear Behavior Based on Regression Tree, Random Forest, and CNN for Wideband Systems

Mon, 01 Jan 2024 00:00:00 +0000

A Comparison of Surrogate Behavioral Models for Power Amplifier Linearization under High Sparse Data

Sat, 01 Oct 2022 00:00:00 +0000

Reliable comparison for power amplifiers nonlinear behavioral modeling based on regression trees and random forest

Sun, 01 May 2022 00:00:00 +0000

RF-PA Modeling of PAPR: A Precomputed Approach to Reinforce Spectral Efficiency

Wed, 01 Jul 2020 00:00:00 +0000

Comparison of a genetic programming approach with ANFIS for power amplifier behavioral modeling and FPGA implementation

Mon, 01 Apr 2019 00:00:00 +0000

Coefficients Estimation of MPM Through LSE, ORLS and SLS for RF-PA Modeling and DPD

Mon, 01 Jan 2018 00:00:00 +0000

Behavioral Modeling of Chireix Outphasing Power Amplifier

Fri, 01 Dec 2017 00:00:00 +0000

Overview

During my time as a Visiting Scholar (2014–2016) and Ph.D. research at the RF Nonlinear Research Laboratory, Department of Electrical and Computer Engineering, The Ohio State University, I conducted extensive measurement campaigns and behavioral modeling of a Chireix outphasing power amplifier system.

Key Contributions

Performed large-signal dynamic measurements of a Chireix PA using a nonlinear vector network analyzer (NVNA) to capture AM-AM, AM-PM distortion curves and dynamic efficiency behavior under modulated signal excitation.
Developed NARMA-based behavioral models to accurately predict the nonlinear memory effects inherent to outphasing PA architectures, where signal recombination introduces load-dependent distortions.
Validated models against LTE-Advanced waveforms, demonstrating improved prediction accuracy for efficiency and linearity metrics compared to conventional memoryless polynomial approaches.

Tools & Technologies

NVNA (Keysight PNA-X), MATLAB, automated RF testbed, signal generators, spectrum analyzers, Keysight ADS.

Impact

This work formed the core of my Ph.D. dissertation: “Measurement and Behavioral Modeling of Dynamic Efficiencies and Linearization of an LTE-A Chireix PA” (IPN-CITEDI, 2017), and was supported by an NSF Scholarship (2015–2016).

Measurement and nonlinear behavioral modeling of the dynamic bias current in an LTE-A Chireix PA

Wed, 01 Nov 2017 00:00:00 +0000

Measure-based modeling and FPGA implementation of RF Power Amplifier using a multi-layer perceptron neural network

Sat, 01 Feb 2014 00:00:00 +0000