A New Method for Source Number Detection Based on Peak-to-average Power Ratio

In this paper, a new method based on Peak-to-Average Power Ratio Threshold (PAPRT) is proposed by combining the eigenvectors with the binary hypothesis testing. The eigenvectors are employed to weigh the received data and then the peak-to-average power ratio is calculated. According to the fact that both the eigenvalues and the peak-to-average power ratio have valuable information in distinguishing signal from noise, the source number is detected by introducing the binary hypothesis testing process. Simulation results show that PAPRT method is superior to the Eigen Threshold (ET) method under lower SNR when two sources are of equal intensity. And it also has a good performance when the sources are of unequal intensity, with no influence by the intensity difference between the targets.