摘要
针对战场移动自组织网络实时、高效传输大容量情报信息的应用需求,提出一种基于压缩传感与用户需求匹配分析的网络数据分发方法。该方法通过分析用户需求,筛选匹配的用户数据,并利用统一表征字典实施稀疏表示与精确重建,同时利用新情报信息自主更新和维护表征字典,支撑扩展的作战应用。将其应用于分析战场侦察的可见光图像,仿真结果表明新方法能大幅度降低有限带宽网络实时传输数据量。
Based on the requirements about real and efficient large volume intelligent information transmission, a data on-demand dissemination method is proposed by using compressed sensing and us- ers＇ needs analysis. Appropriate data is chosen and made sparse representation and accurate reconstruc- tion. Meanwhile, new data are used to manage and update representation dictionary automatically for further tactical applications. Numerical simulation on visible reconnaissance images has demonstrated the real data volume in mobile ad hoc with low wideband is small.
出处
《现代防御技术》
北大核心
2015年第5期45-51,共7页
Modern Defence Technology
关键词
压缩传感
AD
HOC网络
稀疏表示
数据挖掘
特征提取
战场管理
compressed sensing
Ad Hoc network
sparse representation
data mining
feature extraction
battlefield management
