Abstrait

Wideband Detection for Spectrum Sensing By Cognitive Radio Network Using Smart Antennas

Abhinaya Padaki, Lalitha Y, S

In the project a smart antennas assisted wideband spectrum mobile user detection algorithm by cognitive radios is simulated. In this approach, the wideband spectrum sensing issue is transformed into estimating the number of occupied channels based on the Noise Eigen vector method (NEVM) criterion, and then detecting the occupancy status for each channel by the sample power. The power spectrum is computed by finding the Eigen values of the NEVM criteria. Then the Eigen vectors are used in determining the power spectrum of the signal whose peaks will give information about the spectrum occupied by the mobile user.