A fast implementation of a special non-MSE cost function for blind equalization is presented here. This baud-rate equalization algorithm is based on a convex cost function coupled with a simple linear constraint on the equalizer parameters. For a generic class of channels with persistently exciting quadrature amplitude modulation input signals, this new algorithm allows the convergence of equalizer parameters to a unique global minimum achieving intersymbol interference suppression and carrier phase recovery.
|Original language||English (US)|
|Number of pages||5|
|Journal||IEEE Transactions on Communications|
|State||Published - 2000|
Bibliographical noteFunding Information:
Paper approved by R. A. Kennedy, the Editor for Data Communications, Modulation, and Signal Design of the IEEE Communications Society. Manuscript received February 22, 1999; revised December 15, 1999. This work was supported in part by the U.S. National Science Foundation under Grant CCR-9996206 and in part by the Natural Sciences and Engineering Research Council of Canada under Grant OPG0090391.
- Blind deconvolution
- Global convergence
- Intersymbol interference
- Linear programming