4 papers
RSS-based Multiple Sources Localization with Unknown Log-normal Shadow Fading
Yueyan Chu, Wenbin Guo, Kangyong You +3
Multi-source localization based on received signal strength (RSS) has drawn great interest in wireless sensor networks. However, the shadow fading term caused by obstacles cannot b…
Multiple Sources Localization with Sparse Recovery under Log-normal Shadow Fading
Yueyan Chu, Kangyong You, Wenbin Guo
Localization based on received signal strength (RSS) has drawn great interest in the wireless sensor network (WSN). In this paper, we investigate the RSS-based multi-sources locali…
Parametric Sparse Bayesian Dictionary Learning for Multiple Sources Localization with Propagation Parameters Uncertainty and Nonuniform Noise
Kangyong You, Wenbin Guo, Tao Peng +3
Received signal strength (RSS) based source localization method is popular due to its simplicity and low cost. However, this method is highly dependent on the propagation model whi…
Graph Learning for Spatiotemporal Signals with Long- and Short-Term Characterization
Yueliang Liu, Wenbin Guo, Kangyong You +3
Mining natural associations from high-dimensional spatiotemporal signals plays an important role in various fields including biology, climatology, and financial analysis. However,…