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A new digital predistortion technique based on a direct learning architecture is proposed for linearising power amplifiers (PAs) with nonlinear memory effects. It is based on the non-uniform memory polynomial (MP) model and with a quadratically interpolated LUT. There are mainly two innovations. First, compared with the conventional MP model, the non-uniform MP model achieves the same modelling accuracy...
This paper presents an optimized digital predistortion (DPD) technique based on iterative injecting of distortion components into the baseband signal. The ratio of computation complexity to linearization degree can be regulated by choosing the appropriate number of injections. The proposed DPD technique allows achieving a significant increase in linearization degree and overcoming the distortion compensation...
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