Frequency domain distributed OFDM source detection

We consider distributed detection of an orthogonal frequency-division multiplexing (OFDM) random source using a cooperative set of sensors. Assuming that the observations of different sensors are independent, we derive/propose several frequency-domain detectors: the Neyman-Pearson detector for known SNRs and noise variances and three generalized likelihood ratio detectors for unknown SNRs and/or noise variances assuming that the transmit power is either uniformly allocated to all the subcarriers or not. Our theoretical analysis matches our simulation results and show that the proposed detectors, despite their lower computational complexity, outperform the state-of-the-art time-domain detectors in practical cases.