KL-divergence kernel regression for non-Gaussian fingerprint based localization

  title={KL-divergence kernel regression for non-Gaussian fingerprint based localization},
  author={Piotr W. Mirowski and Harald Steck and Phil Whiting and Ravishankar Palaniappan and Michael MacDonald and Tin Kam Ho},
  journal={2011 International Conference on Indoor Positioning and Indoor Navigation},
Various methods have been developed for indoor localization using WLAN signals. Algorithms that fingerprint the Received Signal Strength Indication (RSSI) of WiFi for different locations can achieve tracking accuracies of the order of a few meters. RSSI fingerprinting suffers though from two main limitations: first, as the signal environment changes, so does the fingerprint database, which requires regular updates; second, it has been reported that, in practice, certain devices record more… CONTINUE READING
Highly Cited
This paper has 48 citations. REVIEW CITATIONS
32 Extracted Citations
18 Extracted References
Similar Papers

Citing Papers

Publications influenced by this paper.
Showing 1-10 of 32 extracted citations

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 18 references

Similar Papers

Loading similar papers…