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This article proposes an adaptive equalization framework for flat fading multi-input multi-output(MIMO) systems, where the main goal is to significantly reduce the number of training symbols. The proposed approach exploits the special boundedness property of digital communication signals along with training symbols to adapt receiver equalizer filter. The corresponding framework is built upon some...
We introduce compressed training adaptive equalization as a novel approach for reducing number of training symbols in a communication packet. The proposed semi-blind approach is based on the exploitation of the special magnitude bounded-ness of communication symbols. The algorithms are derived from a special convex optimization setting based on l∞ norm. The corresponding framework has a direct link...
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