most citedParametric Sparse Bayesian Dictionary Learning for Multiple Sources Localization with Propagation Parameters Uncertainty and Nonuniform Noise

33 citations · 40 across the 4 of their papers we have counts for

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eess.SP2021

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…

eess.SP2019★ 33 cited

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…