IoT-based Electrical Device Positioning Method Using Multiple Signal Classification and Sparse Bayesian Learning
Chang Liu, Yicong Wang, Jin Wang, Jie Wang, Li Tian, Xiao Hui Yu · 2022 IEEE 4th International Conference on Power, Intelligent Computing and Systems (ICPICS) · 2022
Recently, with the increasing service requirement, IoT based electrical device positioning has received much attentions, especially in mixed far-field and near-field sources scenario. In this paper, a new IoT-based positioning algorithm with MUSIC and SBL is proposed. The MUSIC technique is introduced to locate the FF sources at first. And then, an oblique projection is used to isolate near-field sources from the far-field sources. Next, a virtual array output is constructed and SBL is used to find the angle information of the near-field sources. At last, the 1-D searching is used for the range of the NF sources estimation. Our method shows better estimation result than other existing positioning ones