现代防御技术2025，Vol.53Issue(3)：49-56,8.DOI:10.3969/j.issn.1009-086x.2025.03.006
基于改进BoP算法的机动飞行动作识别方法研究
Research on Maneuvering Flight Action Recognition Method Based on Improved Bop Algorithm
摘要
Abstract
The recognition of flight maneuvering is primarily utilized for assessing pilot training quality,aiding decision-making in aerial combat,and other related scenarios.This study focuses on realizing flight maneuver recognition through the utilization of the bag of patterns(BoP)algorithm,which has been enhanced to address deficiencies in multi-dimensional time series scenarios.The improved algorithm extracts features from flight attitude data and analyze flight maneuver recognition.Simulation results demonstrate that the enhanced BoP algorithm enhances the accuracy and confidence of flight maneuver recognition,while effectively characterizing specific flight maneuvers through extracted parameter features.关键词
模式识别/多维时间序列/机动飞行动作/特征降维/飞行训练Key words
pattern recognition/multidimensional time series/maneuvering flight maneuvers/feature dimension reduction/flight training分类
航空航天引用本文复制引用
罗鹏,胡荣华,舒杨..基于改进BoP算法的机动飞行动作识别方法研究[J].现代防御技术,2025,53(3):49-56,8.基金项目
中国工程物理研究院创新发展基金(PY20200053) （PY20200053）
