Fingerprint Space Building Algorithm with Kriging for Large Positioning Regional Environment

DOI

10.2991/iccset-14.2015.98How to use a DOI?

Keywords

Location Fingerprinting; Kriging; Variogram; Least-Square Fitting

Abstract

When using the arithmetic of location fingerprinting to build up fingerprint spaces, the methodology that scholars used now contains drawbacks, such as the high complexity and low accuracy and other iuess. As a result, Kriging are using frequently. In the traditional style, chosen Kriging index could only be applied to empirical models for small-scaled indoor scenes. Therefore, proposes to use least-square fitting based variogram model to obtain the theoretical model of related parameters for large targeted area environment. Result of this experiment shows that the new method can improve the fitting degree. Supposing the space of samples is 5-25 meters, the interpolation accuracy enhanced by 0.17dB-0.45dB, positioning accuracy positioning accuracy are enhanced by 0.4m-1.47m as well compared with existing techniques.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yue Wang
AU  - Wei-jia Cui
AU  - Da-ming Wang
AU  - Zhi-yu Lu
PY  - 2015/01
DA  - 2015/01
TI  - Fingerprint Space Building Algorithm with Kriging for Large Positioning Regional Environment
BT  - Proceedings of the 2014 International Conference on Computer Science and Electronic Technology
PB  - Atlantis Press
SP  - 437
EP  - 442
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccset-14.2015.98
DO  - 10.2991/iccset-14.2015.98
ID  - Wang2015/01
ER  -