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Mostrando ítems 1-10 de 12
Artículo
On the Optimum Number of Coefficients of Sparse Digital Predistorters: A Bayesian Approach
(IEEE, 2020-12)
This work presents insights on the application of the Bayesian information criterion (BIC) to fix the optimum number of coefficients in the Volterra series applied to the modeling and linearization of power amplifiers ...
Artículo
A bivariate volterra series model for the design of power amplifier digital predistorters
(MDPI, 2021)
The operation of the power amplifier (PA) in wireless transmitters presents a trade-off between linearity and power efficiency, being more efficient when the device exhibits the highest nonlinearity. Its modeling and ...
Artículo
A Doubly Orthogonal Matching Pursuit Algorithm for Sparse Predistortion of Power Amplifiers
(IEEE, 2018-08)
This letter presents a new method for the digital predistortion (DPD) of power amplifiers (PAs) based on sparse behavioral models. The Gram-Schmidt orthogonalization is synergistically integrated into the orthogonal matching ...
Artículo
Digital predistortion of power amplifiers using structured compressed-sensing Volterra series
(The Institution of Engineering and Technology, 2017-01)
Digital predistortion has become an attractive technique for power amplifier linearisation whose limiting factor for using Volterra series as the underlying model is its computational complexity, since the number of ...
Artículo
Sparse identification of volterra models for power amplifiers without pseudoinverse computation
(Institute of Electrical and Electronics Engineers Inc., 2021)
We present a new formulation of the doubly orthogonal matching pursuit (DOMP) algorithm for the sparse recovery of Volterra series models. The proposal works over the covariance matrices by taking advantage of the orthogonal ...
Artículo
An Upgraded Dual-Band Digital Predistorter Model for Power Amplifiers Linearization
(IEEE, 2021-01)
Digital predistortion (DPD) based on Volterra models is commonly employed to counteract the nonlinear distortion of power amplifiers. However, when concurrent dual-band signals are transmitted, 2-D DPD models are required. ...
Artículo
A Sparse-Bayesian Approach for the Design of Robust Digital Predistorters Under Power-Varying Operation
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022)
In this article, a sparse-Bayesian treatment is proposed to solve the crucial questions posed by power amplifier (PA) and digital predistorter (DPD) modeling. To learn a model, the advanced Bayesian framework includes ...
Artículo
Comparative Analysis of Greedy Pursuits for the Order Reduction of Wideband Digital Predistorters
(IEEE, 2019-09)
This paper provides a review of greedy pursuits for optimizing Volterra-based behavioral models structure and estimating its parameters. An experimental comparison of the digital predistortion (DPD) linearization performance ...
Artículo
Transmitter Linearization Adaptable to Power-Varying Operation
(IEEE, 2017-10)
This paper presents the design of a power-scalable digital predistorter (DPD) for transmitter architectures. The target is to accomplish the joint compensation of impairments due to the I/Q modulator and nonlinearities ...
Artículo
Comparison of Feature Selection Techniques for Power Amplifier Behavioral Modeling and Digital Predistortion Linearization
(MDPI, 2021-09)
The power amplifier (PA) is the most critical subsystem in terms of linearity and power efficiency. Digital predistortion (DPD) is commonly used to mitigate nonlinearities while the PA operates at levels close to saturation, ...