Behavioral modeling of RF power amplifiers based on pruned volterra series

By Anding Zhu, Thomas J. Brazil. IEEE Microwave and Wireless Components Letters, 2004

202 citations recorded by the source corpus.

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A Generalized Memory Polynomial Model for Digital Predistortion of RF Power Amplifiers (2006, unknown): “(We recently became aware of a similar formulation in [23].”
A comparative analysis of behavioral models for RF power amplifiers (2006, methodology): “Recently, methods using sparse delays [14] and pruned Volterra series [29] have been used for optimizing model performance .”
A High-Efficiency 100-W GaN Three-Way Doherty Amplifier for Base-Station Applications (2008, methodology): “To suppress the influence of these effects, we have developed a dedicated predistortion algorithm, based on memory polynomials [20]–[22], which is applicable to our three-way DPA amplifier and compensates for the memory present in the circuit.”
Baseband Equivalent Volterra Series for Digital Predistortion of Dual-Band Power Amplifiers (2014, background): “, Volterra series [18]–[20] and artificial neural networks (ANNs) [21]–[24]).”
Decomposed Vector Rotation-Based Behavioral Modeling for Digital Predistortion of RF Power Amplifiers (2015, methodology): “This makes the nonlinear basis function similar to the cross terms in the Volterra model, which can enhance the nonlinear fitting capability [29].”