Improving Spectrum Sensing Performance by Using Eigenvectors
In this paper, the authors present a method to improve the performance of eigenvalue-based detection, facilitated with eigenvectors of the sample covariance matrix. They focus on the multi-sensor detection of a single source case. If the channel is constant over adjacent sensing slots, it can be blindly estimated by using the eigenvector associated to the largest eigenvalue on condition of the source's presence. They introduce a new test where the eigenvector value, computed over some previous auxiliary slots, is properly used by the detection algorithm.