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.