Nonlinear behavioral modeling and simulation of Rf device with memory effects based on Volterra series
Sun Jinlong, Lin Maoliu, Zhilu Wu
Abstract
Sun Jinlong, Lin Maoliu, Zhilu Wu
Abstract
This paper is aiming at making behavioral model of RF device by using Volterra series theory. When we consider the periodic input signal, the Volterra series will presents a discrete form. In this paper, a five-order nonlinear system is applied to derive the Volterra series expansions which can express DC term and harmonic components in frequency domain. The simulation shows that the performance of this behavioral modeling method is good, especially when higher order Volterra series expansion is used. We also conclude that the method given by this paper is valid to both small signal and large signal.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
This paper is aiming at making behavioral model of RF device by using Volterra series theory. When we consider the periodic input signal, the Volterra series will presents a discrete form. In this paper, a five-order nonlinear system is applied to derive the Volterra series expansions which can express DC term and harmonic components in frequency domain. The simulation shows that the performance of this behavioral modeling method is good, especially when higher order Volterra series expansion is used. We also conclude that the method given by this paper is valid to both small signal and large signal.
Key concepts: Volterra series, Nonlinear system, Series (stratigraphy), SIGNAL (programming language), Behavioral modeling, Control theory (sociology), Computer science, Frequency domain