Multiantenna Spectrum Sensing: The Case of Wideband Rank-One Primary Signals
One of the key problems in Cognitive Radio (CR) is the detection of primary activity in order to determine which parts of the spectrum are available for opportunistic access. In this paper, the authors present a new multi-antenna detector which fully exploits the spatial and temporal structure of the signals. In particular, they derive the Generalized Likelihood Ratio Test (GLRT) for the problem of detecting a wideband rank-one signal under spatially uncorrelated noise with equal or different power spectral densities. In order to simplify the Maximum Likelihood (ML) estimation of the unknown parameters, they use the asymptotic likelihood in the frequency domain.