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In this letter, the problem of spectrum sensing is addressed for noncircular(NC) signal in cognitive radio networks with uncalibrated multiple antennas.Specifically, by taking both the standard covariance and complementarycovariance information of the NC signal into account, a new robust spectrumsensing method called NC covariance (NCC) is proposed, which can fully reap thestatistical property of the NC signals. Meanwhile, we derive the asymptoticdistribution of the NCC statistic under the signal-absence hypothesis andobtain the theoretical decision threshold of the NCC method. Simulation resultsdemonstrate that the proposed method is capable of outperformingstate-of-the-art methods.

Covariance-Based Spectrum Sensing for Noncircular Signal in Cognitive Radio Networks With Uncalibrated Multiple Antennas