Convergence analysis of multimodulus-based blind equalization algorithms

This work proposes a new blind equalization algorithm referred to herein as the multimodulus stop-and-go decision-directed algorithm (MSG-DDA), by combining the advantages of both an existing multimodulus algorithm (MMA) and a well-known stop-and-go algorithm (SGA). The dynamic convergence properties of the MSG-DDA and the MMA for blind equalization are then mathematically analyzed using a conditional Gaussian approximation. The results verify that the MSG-DDA substantially outperforms both the MMA and SGA.