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An efficient spectrum sensing algorithm based on overlap-FFT architecture

In this paper, the detection performance of the energy detection algorithm in frequency domain based on overlap-Fast Fourier Transform (overlap-FFT) architecture are analyzed through theoretical derivation and simulation. Firstly, the Monte Carlo method is used to verify the effectiveness of the theoretical analysis of the detection performance under the overlap-FFT scheme when the overlap ratio γ ∊ [0,0.5]. Then, a method of estimating the probability of detection when the overlap ratio γ > 0.5 is proposed according to the simulation of detection performance in the case of different overlap ratios. Finally, the simulation based on OFDM signals verifies that overlap-FFT technology can effectively improve the frequency domain energy detection performance, and its detection probability is higher than the FSM(frequency smoothed method) algorithm based on cyclic stationary feature detection.