Projection minimization algorithm for blind channel equalizer
Signal Processing
Global convergence of a blind multichannel identification algorithm
Signal Processing
Self-tuning blind identification and equalization of IIR channels
EURASIP Journal on Applied Signal Processing
Blind adaptive channel equalization with performance analysis
EURASIP Journal on Applied Signal Processing
A quadratic programming approach to blind equalization and signal separation
IEEE Transactions on Signal Processing
Blind equalization technique for cross correlation constant modulus algorithm (CC-CMA)
WSEAS Transactions on Signal Processing
Blind adaptive equalization of MIMO systems: new recursive algorithms and convergence analysis
IEEE Transactions on Circuits and Systems Part I: Regular Papers
| Hi-index | 35.69 |
Blind fractionally spaced equalizers reduce intersymbol interference using second-order statistics without the need for training sequences. Methods for finding FIR zero-forcing blind equalizers directly from the observations are described, and adaptive versions are developed. In contrast, most current methods require channel estimation as a first step to estimating the equalizer. The direct methods can be zero-forcing, minimum mean-square error, or even minimum mean square error (MMSE) within the class of zero-forcing equalizers. Performance of the proposed methods and comparisons with existing approaches are shown for a variety of channels, including an empirically measured digital microwave channel