2022-02-232022-02-232018-08Becerra-González, J.A., Madero-Ayora, M.J., Reina-Tosina, L.J., Crespo-Cadenas, C., García-Frías, J. y Arce, G. (2018). A Doubly Orthogonal Matching Pursuit Algorithm for Sparse Predistortion of Power Amplifiers. IEEE Microwave and Wireless Components Letters, 28 (8), 726-728.1531-1309https://hdl.handle.net/11441/130189This 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 pursuit algorithm to decorrelate the selected model regressors against the components still to be selected. Experiments on a test bench based on a GaN PA driven by a 15-MHz orthogonal frequency division multiplexing signal were conducted in order to validate the algorithm. Experimental results in a DPD application and a comparison with other state-of-the-art algorithms highlight the enhancement of its pruning capabilities, reducing the number of coefficients while maintaining the performance.application/pdf3 p.engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Behavioral modelingCompressive sensingDigital predistortion (DPD)Orthogonal matching pursuit (OMPPower amplifier (PA)info:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1109/LMWC.2018.2845947