A CFAR Detection Algorithm for X-ray Pulsar Signal Based on Time-Frequency Entropy

摘要

Focusing on the X-ray pulsar signal detection in high background noise, a class of CFAR detection algorithms is proposed based on time-frequency entropy (TFE). Firstly, the definition of the pulsar signal TFE is given, moreover, the TFE difference of signal and noise is verified by theoretical derivation from the view of energy distribution. Then the distribution characteristic of TFE of pulsar signal is analyzed theoretically. The theoretical analysis result is further verified by Monte Carlo method. We detect the observation signal based on CFAR with the test statistic designed by TFE. We have also verified the effectiveness of this method by simulation experiment. The simulation results show that the time-frequency Renyi entropy detection algorithm based on ST generates the optimal detection performance.