Analysis and Modeling on Expanding Volterra-Series Behavior Model for Nonlinear Power Amplifier with Memory Effects
记忆效应非线性功放扩展Volterra模型分析与构建

Volterra-series behavioral model for Radio Frequency (RF) power amplifier is limited to “weak” nonlinearity because of high computational complexity. In order to reduce computational complexity or the number of coefficient of Volterra-series kernels, the two approaches, based on Chebyshev orthogonal polynomials function and Laguerre orthogonal polynomials function, are proposed, and the mathematical expressions of Volterra-Chebyshev and Volterra-Laguerre behavioral model is derived, and Volterra-laguerre model is simulated. Mathematical analysis and simulation results show that Volterra-Chebyshev and Volterra-Laguerre behavioral model have a simplified structure and reductive coefficients than general Volterra-series model.