Adaptive Separation of PCMA Signals Based on Maximum Correntropy Algorithm

ABSTRACT Paired carrier multiple access (PCMA) is a critical technique in satellite communication systems for frequency reuse and optimizing spectrum utilization. While separation of PCMA signals in Gaussian noise environments is well‐established, designing algorithms for impulsive noise remains a challenge. This paper proposes a novel correntropy‐based adaptive filter with an equalizer to separate PCMA signals in the presence of impulsive noise. It is important to note that our approach is currently limited to single‐beam applications and specifically for constant QPSK modulations. We compare the performance of our method with the well‐known least mean square (LMS) adaptive filter using bit error rate (BER) and mean square deviation (MSD) simulations, demonstrating the superiority of our approach.