电讯技术2026，Vol.66Issue(6)：914-923,10.DOI:10.20079/j.issn.1001-893x.250801003
融合多模态数据的移动物联网频谱智能感知算法
An Intelligent Spectrum Sensing Algorithm for Mobile Internet of Things Integrating Multimodal Data
摘要
Abstract
For the problem of low spectrum utilization in the complex and changeable mobile Internet of Things(MIoT)environment,an intelligent spectrum sensing algorithm integrating multimodal data is proposed.Firstly,multiple secondary user signals obtained by the system are used to construct time series data through collaboration,and the sample covariance matrix is calculated to obtain the corresponding image data.Time series data and image data constitute multimodal data,which not only provides a more comprehensive temporal and spatial perspective,but also improves the diversity of features.Then,a parallel dual-branch Time-ImageNet network is constructed based on multi-modal data.The TimeNet branch network consists of multi-layer Conv1D and multi-layer Transformer to extract key time features from time series data.The ImageNet branch is based on the FasterNet network.On the one hand,it reduces the complexity by optimizing the network structure.On the other hand,it uses the channel shuffle operation to perform cross-group channel information interaction on the feature map to break the grouping boundary.Finally,the output time series features are fused with the corresponding image features,and input into the modal fusion network for spectrum sensing to determine whether the spectrum is available.Based on the N-Nakagami channel conditions,in the low signal-to-noise ratio range of-21 dB to-9 dB,compared with other algorithms,when using QPSK modulation,the Time-ImageNet's detection probability is increased by 35%,and the false alarm probability is reduced by 38%.关键词
移动物联网/智能频谱感知/多模态数据Key words
mobile Internet of Things/intelligent spectrum sensing/multimodal data分类
信息技术与安全科学引用本文复制引用
张力良,李天成,方珺,程涵冰,徐凌伟..融合多模态数据的移动物联网频谱智能感知算法[J].电讯技术,2026,66(6):914-923,10.基金项目
国家自然科学基金资助项目(62201313) （62201313）
数字化学习技术集成与应用教育部工程研究中心创新基金项目(1321012) （1321012）
广西混杂计算与集成电路设计分析重点实验室开放基金课题(GXIC2401) （GXIC2401）
