An Adaptive Regularized Subspace Pursuit based Variable Step-size Method for Power Amplifier Sparse Model Selection

A novel Adaptive Regularized Subspace Pursuit based Variable Step-size (ARSP-VS) algorithm is proposed for power amplifier (PA) and digital predistorters(DPD) modeling. Experiments were performed on a test platform of a Class AB PA driven by a 20-MHz LTE signal and a 4-carrier 80M LTE signal. The results show that the proposed algorithm has better linearization performance than other algorithms.