The use of pulsar X-ray signals for spacecraft navigation is a hot research field in deep space exploration.In X-ray Pulsar-based Navigation(XNAV),identifying X-ray pulsar signals is extremely important.This article proposes the Time Cycle Kurtosis(TCK)as an identification algorithm for extracting pulsar signal features,and combines it with ResNet34 for training and verifica-tion.The criterion for successful identification is based on an accuracy of over 90%,with the shortest observation times for B0531+21,B0540-69,and B1509-58 pulsars to complete the identification task being 0.5 s,2.5 s,and 15 s,respectively.This article demon-strates through experiments that TCK can quickly and accurately complete the identification task of X-ray pulsar signals.
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维普
