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CiteWeb id: 19800000073

CiteWeb score: 3590

DOI: 10.1109/TCOM.1980.1094608

Conventional equalization and carrier recovery algorithms for minimizing mean-square error in digital communication systems generally require an initial training period during which a known data sequence is transmitted and properly synchronized at the receiver. This paper solves the general problem of adaptive channel equalization without resorting to a known training sequence or to conditions of limited distortion. The criterion for equalizer adaptation is the minimization of a new class of nonconvex cost functions which are shown to characterize intersymbol interference independently of carrier phase and of the data symbol constellation used in the transmission system. Equalizer convergence does not require carrier recovery, so that carrier phase tracking can be carried out at the equalizer output in a decision-directed mode. The convergence properties of the self-recovering algorithms are analyzed mathematically and confirmed by computer simulation.

The publication "Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems" is placed in the Top 10000 of the best publications in CiteWeb. Also in the category Computer Science it is included to the Top 1000. Additionally, the publicaiton "Self-Recovering Equalization and Carrier Tracking in Two-Dimensional Data Communication Systems" is placed in the Top 100 among other scientific works published in 1980.
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