The invention provides an X-
ray pulsar recognition method based on Hilbert transformation, belongs to the field of
weak signal processing, and relates to a profile recognition method. The X-
ray pulsarrecognition method solves the problem that during current recognition, a large amount of
operating time and storage space are occupied, and meanwhile, the influence of
high frequency noise can be effectively inhibited. The method comprises the steps of 1, conducting Hilbert transformation on a standard profile and an observation profile
signal; 2, extracting
instantaneous amplitude characteristics of a standard profile
signal and a profile
signal to be recognized and utilizing a characteristic vector of the standard profile to construct a characteristic
database; 3, calculating the spatial distances of characteristic vectors of the observed profile signal and all characteristic vectors in the characteristic
database respectively, wherein when the distance is the minimum, the corresponding
pulsar sequence is a recognition result. Inhibiting properties of the
high frequency noise by the Hilbert transformation are utilized,
instantaneous amplitude characteristics are extracted to designa
minimum distance classifier to complete high speed recognition of a
pulsar signal, and the X-
ray pulsar recognition method is applicable to quickly recognizing an X-ray pulsar.