This work deals with the issue of blind cooperative
spectrum sensing using distributed sensors with large-scale fading.
We first investigate the Friedman-test-based nonparametric
detector and analyze its performance. Due to the operations of
instantaneous power passing and ranking, the nonparametric
detector has relatively high-sensing overhead and computational
complexity. To overcome these drawbacks, we then propose a
blind cooperative parametric detector for which only local average
power passing is needed and instantaneous power ranking is
avoided. Compared with the nonparametric detector, the parametricdetectordeliversbetterperformancewithmuch
and complexity. The detection probability and false alarm probability
of the parametric detector are analyzed, and its decision
threshold is derived. Simulation results demonstrate the superior
performance of the parametric detector, compared with the energy
detector and the eigenvalue-based detectors in the literature.