The invention belongs to the technical field of integrated circuits, and particularly relates to a time mismatch extraction method based on parallel windowing autocorrelation. According to the method, firstly, clustering
processing is carried out on
signal points; thirdly, preliminarily screening out legal signals based on the time
occupancy rate of the signals, and constructing an initial legal
signal library; a similarity
score between the signals is further calculated through an IDK
algorithm, and adjacent frequency bands are divided through a Pettitt method; and finally,
continuation of legal signals is realized by means of a
DBSCAN clustering
algorithm, and automatic construction of a legal
signal library is completed. The method is not only suitable for scenes without
prior information, but also can be applied under the condition with partial
prior information, and can be dynamically updated according to actual requirements. The method is based on
radio frequency spectrum monitoring
big data, can construct a legal signal
library with high reliability and strong generalization ability, provides effective support for subsequent illegal
signal monitoring, and has important application value.