توضيح: In this paper, we consider the problem of spectrum
sensing by using multiple antenna in cognitive radios when the
noise and the primary user signal are assumed as independent
complex zero-mean Gaussian random signals. The optimal multiple
antenna spectrum sensing detector needs to know the channel
gains, noise variance, and primary user signal variance. In
practice some or all of these parameters may be unknown, so we
derive the Generalized Likelihood Ratio (GLR) detectors under
these circumstances. The proposed GLR detector, in which all the
parameters are unknown, is a blind and invariant detector with a
low computational complexity. We also analytically compute the
missed detection and false alarm probabilities for the proposed
GLR detectors. The simulation results provide the available
traded-off in using multiple antenna techniques for spectrum
sensing and illustrates the robustness of the proposed GLR
detectors compared to the traditional energy detector when there
is some uncertainty in the given noise variance. نسخه: - اضافه شده در تاريخ: 20 اسفند ماه ، 1389 ارسال شده توسط:ايران ميكرو سطح مقاله: عمومي بازديد: 454