Blind Multimodulus Equalization in MIMO Systems via Majorization-Minimization

Blind equalization is crucial in communication scenarios where acquiring channel state information (CSI) incurs significant overhead, such as MIMO systems or low-power IoT applications, in which pilot-based methods become inefficient. This letter proposes a blind multimodulus equalization algorithm for MIMO systems by combining Majorization–Minimization (MM) update framework with a decorrelation-based source extraction strategy. The proposed method improves convergence stability and ensures distinct source recovery. Simulation results demonstrate its superior performance in both successful signal recovery probability and interference suppression, highlighting its potential for practical blind signal processing applications.