A hybrid memory polynomial digital predistortion model for RF transmitters

The power amplifier (PA), a key component of the transmitter system, operates near the saturation region, resulting in nonlinear distortion of the output signal, which affects the quality of the transmitter system. For this, a series of linearization techniques are used to compensate for distortion, one of the most effective and widely applied is the digital predistortion (DPD) technique. The traditional DPD models can be categorized into a single model or multiple models cascade or parallel. In this letter, a hybrid memory polynomial (HMP) model is proposed to further enhance the accuracy of the model, which is composed of multiple memory polynomial (MP) models by cascading and parallelizing. The experimental results show that the HMP model has better accuracy than the traditional MP model at the same complexity.