Performance Analysis of HNN Rotator for PCC-OFDM System

This paper proposes a novel approach to reduce the PAPR value of PCC-OFDM with a new stochastic Hopfield neural network rotator (S-HNN-R) with soft feedback. By adopting new neural output function and random state disturbance, the system performance is improved greatly. Furthermore, the side information isn't needed any more compared to the traditional SLM method. From numerical experiments, it is an effective and practical algorithm for PCC-OFDM system.