A method for the complexity assessment in the context of digital predistortion (DPD) of beamformer arrays is proposed. The technique, demonstrated by over-the-air measurements at 28 GHz, is based on a position-dependent equalization of the linear response of the transmitter by the best linear approximation (BLA) approach. Such a compensation, demonstrated by using different levels of complexity for the equalization as well as for the predistorter model enhances the linearization performance and allows for the analysis of the residual distortion when a unique set of DPD coefficients is used across different beam angles and receiver positions.

Mengozzi, M., Gibiino, G.P., Angelotti, A.M., Florian, C., Santarelli, A. (2022). Over-the-Air Digital Predistortion of 5G FR2 Beamformer Array by exploiting Linear Response Compensation. 345 E 47TH ST, NEW YORK, NY 10017 USA : IEEE [10.1109/IMS37962.2022.9865617].

Over-the-Air Digital Predistortion of 5G FR2 Beamformer Array by exploiting Linear Response Compensation

Mengozzi, M;Gibiino, GP;Angelotti, AM;Florian, C;Santarelli, A
2022

Abstract

A method for the complexity assessment in the context of digital predistortion (DPD) of beamformer arrays is proposed. The technique, demonstrated by over-the-air measurements at 28 GHz, is based on a position-dependent equalization of the linear response of the transmitter by the best linear approximation (BLA) approach. Such a compensation, demonstrated by using different levels of complexity for the equalization as well as for the predistorter model enhances the linearization performance and allows for the analysis of the residual distortion when a unique set of DPD coefficients is used across different beam angles and receiver positions.
2022
2022 IEEE/MTT-S International Microwave Symposium - IMS 2022, 2022
394
397
Mengozzi, M., Gibiino, G.P., Angelotti, A.M., Florian, C., Santarelli, A. (2022). Over-the-Air Digital Predistortion of 5G FR2 Beamformer Array by exploiting Linear Response Compensation. 345 E 47TH ST, NEW YORK, NY 10017 USA : IEEE [10.1109/IMS37962.2022.9865617].
Mengozzi, M; Gibiino, GP; Angelotti, AM; Florian, C; Santarelli, A
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/901031
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