CNN Based Spectrum Sensing Technique for Cognitive Radio Communications

摘要

The present invention relates to a method and apparatus for spectrum sensing in a cognitive wireless system, and more particularly, to a method and apparatus capable of performing spectrum sensing without the need for estimating noise power using a convolutional neural network (CNN). will be. The present invention provides a fast Fourier transform unit for high-speed sampling of a received signal of an entire band to be sensed and converting it into a frequency spectrum; an absolute value accumulator configured to form a two-dimensional signal by accumulating spectral signals for consecutively received signals; an image data generation unit that divides the two-dimensional signal into units of bandwidth of a sensing channel and generates input data of a convolutional neural network by combining a noise channel with each channel; and a spectrum sensing unit for inputting the signal generated by the image data generating unit into the convolutional neural network to learn it, and determining whether a main user signal exists with respect to the sensing channel based on the learned data.