Abstract

Data fusion methods are proposed for cooperative modulation classification by using multiple sensors in multipath fading channels. Performances of these methods are evaluated, and compared with those of the existing optimal decision fusion method, through Monte Carlo simulations for a realistic application scenario, and evident gains are confirmed.

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