Digital predistorter design using B-spline neural network and inverse of De Boor algorithm

This contribution introduces a new digital predistorter to compensate serious distortions caused by memory high power amplifiers (HPAs) which exhibit output saturation characteristics. The proposed design is based on direct learning using a data-driven B-spline Wiener system modeling approach. The n...

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Bibliographic Details
Main Authors: Sheng Chen, Xia Hong, Yu Gong, Chris J. Harris
Format: Default Article
Published: 2013
Subjects:
Mechanical engineering not elsewhere classified
B-spline neural network
De Boor algorithm
Hammerstein model
Memory high power amplifier
Output saturation
Predistorter
Wiener model
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/25661
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