An enhanced peak limited digital predistortion based on indirect learning architecture

The peak power of the digital predistortion (DPD) will be uncontrollably expand when amplifier (PA) is driven in oversaturated state. To solve this problem, letter proposes a limited method. By filtering data used for coefficient extraction, predistorted signal can effectively controlled. memory effect PA considered during filtering. Less samples are needed which reduces computational cost. Simulation verifies effectiveness proposed method, and experimental results show that adjacent channel leakage ratio (ACLR) have 12.4dB improvement tested operated an