THE INDOOR WIFI LOCALIZATION METHOD BASED ON THE FINGERPRINT LIBRARY NOISE FILTERING

Journal Title: Topics in Intelligent Computing and Industry Design (ICID) - Year 2017, Vol 1, Issue 2

Abstract

Based on the RSSI fingerprint matching positioning technology is widely used in WIFI indoor positioning field, due to the influence of multipath effect, scattering, refraction, staff walking, propagation distance and other aspects, indoor signal propagation is easy to introduce noise into the acquisition signal database, leading to the final positioning result is not too ideal. So, this paper proposes a fingerprint library filtering algorithm based on neighborhood mean filter, introduce the concept of acquisition noise on the basis of traditional algorithm, removes the noise of the original data and reduces the average error of location. The results show the effectiveness of this method, and the improved algorithm makes the positioning accuracy greatly improved

Authors and Affiliations

Zou Zi-ming, Li Fu-min, He Wen-bin

Keywords

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  • EP ID EP409829
  • DOI 10.26480/wsmce.01.2017.174.176
  • Views 94
  • Downloads 0

How To Cite

Zou Zi-ming, Li Fu-min, He Wen-bin (2017). THE INDOOR WIFI LOCALIZATION METHOD BASED ON THE FINGERPRINT LIBRARY NOISE FILTERING. Topics in Intelligent Computing and Industry Design (ICID), 1(2), 174-176. https://europub.co.uk/articles/-A-409829