A
singular spectrum analysis-based ionized layer
anomaly detection method provided by the present invention comprises the steps of obtaining the historical ionized layer
observation data ION; utilizing a
singular spectrum analysis method to obtain an ionized layer
normal variation component IONmain; calculating the normal
background noise epsilon based on an ionized layer
quiet period; according to the ionized layer
normal variation component IONmain and the normal
background noise epsilon, obtaining a
normal variation range of the ionized layer
observation data ION; when the actual ionized layer
observation data exceeds the normal variation range of the ionized layer observation data
ION, representing that an ionized layer is abnormal. According to the present invention, by the
singular spectrum analysis, a periodic
signal can be identified and reinforced, the extracted normal variation component contains the influences, such as the season change of the ionized layer along with the revolution of the earth, the 9-day, 13.5-day and 27-day periodic variation of the ionized layer caused by a sun 27-day
rotation period, etc., so that the interferences caused by different external environments of the earth at a background field time period and the
anomaly detection time period are removed from an
anomaly detection result, and the ionized layer anomaly information can be detected effectively.