一种强抗噪的连续帧无人机集群时序表征方法A strong anti-noise time series representation method for continuous frame UAV swarms
肖晖,赵辰霆,王博,盛庆红,刘慧臻
摘要(Abstract):
针对敌方无人机来袭时,其集群队形识别易受传感器噪声等外界干扰的情况,提出了一种提取无人机集群连续帧内部关系结构特征的时序表征方法。该方法充分利用无人机集群的方位和距离两个主要元素,对连续帧无人机集群内部关系结构特征进行描述,利用帧与帧之间的参数变化趋势对无人机集群进行时序表征。通过仿真对比实验证明,该方法对无人机集群的特征描述具有较好的抗噪能力和鲁棒性,能够有效解决传感器噪声等外界干扰影响下的队形变形问题,实现无人机集群持续稳定识别。
关键词(KeyWords): 群目标;无人机集群;内部关系结构参数;时序表征;动态检测
基金项目(Foundation): 国家自然科学基金项目(41701531)
作者(Author): 肖晖,赵辰霆,王博,盛庆红,刘慧臻
DOI: 10.16338/j.issn.2097-0714.20230127
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