Pulsar Signal Characteristic Frequency Identification And Phase Estimation Base On FFT

To meet the detection of pulsars with low SNR, this paper presents a pulse signal recognition algorithm based on FFT. The new method could reduce the accumulation of time domain compared with the traditional method and could complete the detecting within a very short period of time First combined with the characteristics of pulsar signals, make a theoretical description, for characteristic frequency identification method Second, after fft, by looking at the peak of a specific frequency, find the characteristic frequency, use it to estimate pulsar phase change in time domain. Third, Give the CRB(Cramer-Rao performance limit) of characteristic frequency identification method. Use Mento-Carlo simulation for the simulation of pulsar PSRJ0007+7303. Simulation results show statistical results compared to the CRB in the same order of magnitude. Characteristic frequency identification method could achieve effective detection. The result shows Characteristic frequency identification method is an effective way for pulsar Identification and the evaluation of phase change which is directly related to the TOA parameters evaluation.