An Efficient Pruning Method of Digital Predistortion Suitable for Power Amplifiers with Scalable Output Power

In this paper, a new pruning method of digital predistortion based on optimal brain surgeon (OBS) algorithm is proposed, which reduces the algorithm complexity significantly in power scalable applications. The conventional OBS algorithm is modified for complex value DPD application by pruning the redundant items according to their impact on model accuracy such as normalized mean squared error (NMSE). Compared to conventional DPD, more than 60% of the coefficients can be reduced almost without obvious performance degradation.