The present disclosure discloses a method and device for identifying the position of a
foreign network base station,
electronic equipment and a storage medium. Target measurement report data is obtained. A density clustering
algorithm is called to cluster the target measurement report data, and at least three target clusters of
foreign network adjacent areas are obtained. The target clusters are calculated to obtain first position information of the optimal network
signal and second position information of the worst network
signal of the target clusters. The first center position of the optimal network
signal set and the second center position of the worst network signal set of the at least three
foreign network adjacent areas are calculated respectively. The
signal source direction line composed of the second center position pointing to the first center position in each foreign network adjacent area is determined. The intersection area is constructed through at least three
signal source direction lines, and the center position information of the intersection area is determined. The center position is determined as the position of the target foreign network
base station. The present disclosure is suitable for complex communication environment, reduces the limitations of foreign network
base station position identification, and can accurately identify the position of the foreign network base
station.