Spectrum sensing for cognitive radios in space-time doubly selective fading channels

In this work, spectrum sensing in emerging mobile scenarios is studied. Both the mobile locations of primary-user (PU) and the fading channels will be time-variant, which will arouse remarkable fluctuations in the strength of received signals, making most existing sensing schemes invalid. A novel paradigm, i.e. deep sensing, is designed, which estimates the time-varying fading gains and PU´s mobile positions blindly, at the same time of detecting its emission status. A unified dynamic state-space model is established to characterize dynamic behaviors of unknown states. A Bayesian approach is designed to recursively estimate PU´s unknown states, accompanying two others link uncertainties. Simulations validate the proposed scheme.