Blind Source Separation Using an Adaptive Coupling of Four Separation Systems Based on Variable Momentum Term and Variable Step Size

摘要

In order to improve the performance of the blind source separation (BSS) algorithm, this paper proposes a four-system adaptive coupling BSS algorithm based on variable momentum term and variable step size. The algorithm improves the convergence rate and steady-state error by adaptively coupling two medium systems. The first medium system is composed of two subsystems with different step sizes and the same large momentum term, and the convergence rate is faster. The second medium system is composed of two subsystems with different step sizes and the same small momentum term, and the steady-state error is smaller. Simulation results show that the convergence rate of the algorithm is faster and the steady-state error is smaller.