A Class of New Blind Equalizers for QAM Signal Sets
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A class of new blind channel equalization algorithms for QAM signal set is derived. These algorithms are based on the Godard[1] and the stop-and-go algorithms [2] and inherits the desirable properties of both of these algorithms. Being based on the Godard algorithm, carrier recovery is not a prerequisite for equalizer convergence allowing equalization and carrier recovery to be performed independently.Since it is also based on the stop-and-go algorithm, residual error (adaptation noise) after convergence is much smaller than that of the Godard algorithm and is comparable to that of the stop-andgo algorithm. This solves problems associated with large equalizer adaptation noise that may cause instabilities of the carrier recovery circuit [6].Computer simulations are performed for the square 16- QAM and cross 32-QAM signal constellations to demonstrate the performance improvements.
Abstract
A class of new blind channel equalization algorithms for QAM signal set is derived. These algorithms are based on the Godard[1] and the stop-and-go algorithms [2] and inherits the desirable properties of both of these algorithms. Being based on the Godard algorithm, carrier recovery is not a prerequisite for equalizer convergence allowing equalization and carrier recovery to be performed independently.Since it is also based on the stop-and-go algorithm, residual error (adaptation noise) after convergence is much smaller than that of the Godard algorithm and is comparable to that of the stop-andgo algorithm. This solves problems associated with large equalizer adaptation noise that may cause instabilities of the carrier recovery circuit [6].Computer simulations are performed for the square 16- QAM and cross 32-QAM signal constellations to demonstrate the performance improvements.