Spectral Weighting Orthogonal Matching Pursuit Algorithm for Enhanced Out-of-Band Digital Predistortion Linearization
Por:
Gilabert, PL, Lopez-Bueno, D, Montoro, G
Publicada:
1 jul 2019
Categoría:
Electrical and electronic engineering
Resumen:
This brief presents a new variant of the orthogonal matching pursuit (OMP) algorithm for reducing the computational complexity of the digital predistortion (DPD) behavioral model in the forward path. The proposed spectral weighting OMP (SW-OMP) algorithm focuses on selecting the most relevant basis functions to compensate for the out-of-band residual distortion which may eventually be masked by the dominant in-band residual error. This basis selection is carried out in an off-line process that does not affect the computational complexity of the real-time closed-loop DPD but, on the contrary, reduces its complexity while enhancing the robustness. Experimental results show that by selecting the DPD coefficients with the SW-OMP, the inherent ACLR and NMSE degradation suffered when reducing the number of coefficients is mitigated under strong nonlinear operation, when compared to using the basis functions selected by the classical OMP algorithm.
Filiaciones:
Gilabert, PL:
Univ Politecn Cataluna, Dept Signal Theory & Commun, Castelldefels 08860, Spain
Lopez-Bueno, D:
Univ Politecn Cataluna, Dept Signal Theory & Commun, Castelldefels 08860, Spain
Ctr Tecnol Telecomunicac Catalunya, PHYCOM Dept, Castelldefels 08860, Spain
Montoro, G:
Univ Politecn Cataluna, Dept Signal Theory & Commun, Castelldefels 08860, Spain
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