Abstract: Close-range air combat data is a concrete manifestation of air combat experience for pilots. Extraction and application of their knowledge is essential for unmanned combat aerial vehicle (UCAV) to improve the efficiency of close-range autonomous air combat decision-making and air combat effectiveness. Concentrated on the necessity and research ideas of close-range air combat data, from three perspectives of multivariate time series classification and recognition, segmentation and clustering, and prediction, key technologies of close-range air combat data knowledge extraction and application are analyzed. Mainly, the focus is review and scheme design of maneuver trajectory recognition, situation assessment and target state prediction.