Adaptive multi-task compressive sensing for localisation in wireless local area networks

@article{Li2014AdaptiveMC,
  title={Adaptive multi-task compressive sensing for localisation in wireless local area networks},
  author={Rongpeng Li and Zhifeng Zhao and Yuan Zhang and Jacques Palicot and Honggang Zhang},
  journal={IET Communications},
  year={2014},
  volume={8},
  pages={1736-1744}
}
The spatially distributed sparsity of the mobile devices (MDs) in indoor wireless local area networks (WLANs) makes compressive sensing (CS) based localisation algorithms feasible and desirable. In this Letter, the authors exploit the most recent developments in CS to efficiently perform localisation in WLANs and design an accurate indoor localisation scheme by taking advantage of the theory of multi-task Bayesian CS (MBCS). The proposed scheme assembles the strength measurements of signals… CONTINUE READING
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