Novel robust blind equalizer for QAM signals using iterative weighted-least-mean-square algorithm
Document Type
Conference Proceeding
Publication Date
1-1-2010
Abstract
In this paper, we propose a novel blind equalizer which can deal with high-order modulated QAM (quadrature amplitude modulation) signals. This new scheme is based on the signal selection (SS) and the iterative weighted-least-mean-square (IWLMS) algorithm. The incurred additional complexity by the SS scheme is linear with respect to the sample size of the received signal and the IWLMS method is also very efficient. We employ numerous Monte Carlo experiments to compare our proposed blind equalization method with the popular constant modulus algorithm (CMA). The simulation results demonstrate that our proposed scheme is more robust than CMA especially when the QAM modulation order is large. ©2010 IEEE.
Publication Source (Journal or Book title)
GLOBECOM - IEEE Global Telecommunications Conference
Recommended Citation
Yan, K., Wu, H., Xu, D., & Iyengar, S. (2010). Novel robust blind equalizer for QAM signals using iterative weighted-least-mean-square algorithm. GLOBECOM - IEEE Global Telecommunications Conference https://doi.org/10.1109/GLOCOM.2010.5684177