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Convergence analysis of multimodulus-based blind equalization algorithms

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2 Author(s)
Wen-Chun Chien ; Dept. of Electron. Eng., Fu Jen Catholic Univ., Taipei, Taiwan ; Jenq-Tay Yuan

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.

Published in:

Communications and Information Technology, 2004. ISCIT 2004. IEEE International Symposium on  (Volume:2 )

Date of Conference:

26-29 Oct. 2004