Title
Convergence analysis of the stop-and-go blind equalization algorithm
Abstract
Unlike traditional trained channel equalizers, not much work has been done to theoretically characterize the convergence properties of blind channel equalizers due to their inherent nonlinearity. It is only recently that convergence properties of some well-known algorithms such as the generalised Sato algorithm (GSA) and the constant modulus algorithm (CMA) have been analytically derived. In this paper, the convergence properties of the stop-and-go algorithm proposed by Picchi and Prati (1987) are analyzed. The derived mean squared error and the coefficient trajectories are compared with simulation results to verify the validity of the analytical results
Year
DOI
Venue
1999
10.1109/26.752120
IEEE Transactions on Communications
Keywords
Field
DocType
blind equalisers,convergence of numerical methods,iterative methods,mean square error methods,quadrature amplitude modulation,16-QAM signal constellation,blind channel equalizers,coefficient trajectories,convergence analysis,mean squared error,stop-and-go blind equalization algorithm
Convergence (routing),Nonlinear system,Quadrature amplitude modulation,Iterative method,Communication channel,Algorithm,Mean squared error,Electronic engineering,Blind equalization,Mathematics
Journal
Volume
Issue
ISSN
47
2
0090-6778
Citations 
PageRank 
References 
4
0.58
4
Authors
2
Name
Order
Citations
PageRank
Won-ho Lee173.53
Kyungwhoon Cheun258558.39