Systems and methods for multiband linearization architecture using kernel regression

A multiband transmitter, comprising:

• one or more antenna branches comprising a respective one or more power amplifiers coupled to a respective one or more antenna elements;
• and
• a plurality of Digital Predistortion, DPD, systems operable to, for each band of a plurality of bands of the multiband transmitter:
• transform a group of input signals from one or more bands of the plurality of bands into a constructed input vector space to provide transformed input signals;
• and
• predistort the transformed input signals to provide a corresponding group of predistorted input signals based on a determined plurality of kernel centroid locations, a determined plurality of kernel centroid widths, and a determined plurality of kernel centroid weights in accordance with a Radial Basis Function, RBF, kernel regression;
• and
• the one or more antenna elements being operable to transmit the group of predistorted input signals;
• wherein predistorting the transformed input signals to provide the respective group of predistorted input signals in accordance with the RBF kernel regression comprises:
• predistorting the transformed input signals to provide the respective group of predistorted input signals in accordance with the RBF kernel regression using a one dimensional, 1D, Lookup Table, LUT.

A wireless node comprising a multiband transmitter, the multiband transmitter comprising:

• one or more antenna branches comprising a respective one or more power amplifiers coupled to a respective one or more antenna elements;
• and
• a plurality of Digital Predistortion, DPD, systems operable to, for each band of a plurality of bands of the multiband transmitter:
• transform a group of input signals from one or more bands of the plurality of bands into a constructed input vector space to provide transformed input signals;
• and
• predistort the transformed input signals to provide a corresponding group of predistorted input signals based on a determined plurality of kernel centroid locations, a determined plurality of kernel centroid widths, and a determined plurality of kernel centroid weights in accordance with a Radial Basis Function, RBF, kernel regression;
• and
• the one or more antenna elements being operable to transmit the group of predistorted input signals;
• wherein predistorting the transformed input signals to provide the respective group of predistorted input signals in accordance with the RBF kernel regression comprises:
• predistorting the transformed input signals to provide the respective group of predistorted input signals in accordance with the RBF kernel regression using a one dimensional, 1D, Lookup Table, LUT.