Abstract
This paper describes a novel RSS rank based fingerprinting algorithm for indoor positioning. Because RSS rank is invariant to bias and scaling, the algorithm provides the same accuracy for any receiver device, without the need for calibration. Similarity metrics to compare ranked vectors are introduced and their impact on positioning accuracy is investigated in experiments. Experimental results shown that the algorithm can achieve better accuracy than some commonly used fingerprinting algorithms.
Translated title of the contribution | Rank Based Fingerprinting Algorithm for Indoor Positioning |
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Original language | English |
Title of host publication | 2011 International Conference on Indoor Positioning and Indoor Navigation IPIN, 21-23 September 2011, Guimarães, Portugal |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 1-6 |
Number of pages | 6 |
ISBN (Print) | 978-1-4577-1805-2 |
DOIs | |
Publication status | Published - 2011 |
Publication type | A4 Article in conference proceedings |
Publication series
Name | International Conference on Indoor Positioning and Indoor Navigation IPIN |
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Publisher | IEEE |
Publication forum classification
- No publication forum level