Optimal and Near-Optimal Spectrum Sensing of OFDM Signals in AWGN Channels

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The authors consider spectrum sensing of OFDM signals in an AWGN channel. For the case of completely unknown noise and signal powers, they derive a GLRT detector based on empirical second-order statistics of the received data. The proposed GLRT detector exploits the non-stationary correlation structure of the OFDM signal and does not require any knowledge of the noise power or the signal power. The GLRT detector is compared to state-of-the-art OFDM signal detectors, and shown to improve the detection performance with 5 dB SNR in relevant cases.