Detection of the number of sources using peak-to-average power ratio modified by Gerschgorin radii

Aiming at solving the problem of improving detection ability of unmanned underwater vehicle. An information criterion for source number detection with the peak-to-average power ratio modified by Gerschgorin radii (PGAIC) was proposed. The method first employed eigenvectors of the sample covariance matrix to weight the received data and calculated the peak-to-average power ratio, then took a Gerschgorin transform to the sample covariance matrix, next the new peak-to-average power ratios modified by Gerschgorin radii were introduced to Akaike information criterion(AIC) with the transformed covariance matrix. Simulation results show that PGAIC method is superior to conventional detection methods such as AIC and minimum descrition lengh(MDL) at lower signal to noise ratio, not affected by the intensity difference between the targets.