Rank Based Fingerprinting Algorithm for Indoor Positioning
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| 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 a conference publication |
Publication series
| Name | International Conference on Indoor Positioning and Indoor Navigation IPIN |
|---|---|
| Publisher | IEEE |
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.
Publication forum classification
Field of science, Statistics Finland
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