Wide-band spectrum sensing with convolution neural network using spectral correlation function
Anupama Rajanna,
Srimannarayana Kulkarni,
Sarappadi Narasimha Prasad
Abstract:Recognition of signals is a spectrum sensing challenge requiring simultaneous detection, temporal and spectral localization, and classification. In this approach, we present the convolution neural network (CNN) architecture, a powerful portrayal of the cyclo-stationarity trademark, for remote range detection and sign acknowledgment. Spectral correlation function is used along with CNN. In two scenarios, method-1 and method-2, the suggested approach is used to categorize wireless signals without any previous kn… Show more
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