Abstract
In view of the issue that the single-signal signal-to-noise ratio (SNR) estimation methods are unsuitable for time-frequency overlapped signals in underlay cognitive radio (CR), a novel SNR estimation method for time-frequency overlapped signals is proposed under low SNR conditions. In this method, the SNR estimation is transformed into normalized power estimation of every signal component through establishing the kurtosis of received signals on the basis of second moments and forth-order moments. The Cramer Rao Bound (CRB) of SNR estimation for time-frequency overlapped signals is also derived in this letter. Simulation results are provided to confirm that the proposed method can estimate the SNR of time-frequency overlapped signals effectively in low SNR regions.
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