International journal of advanced smart convergence

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
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Kernel Fisher Discriminant Analysis for Indoor Localization

  • Ngo, Nhan V.T. (Kyunghee University) ;
  • Park, Kyung Yong (Ubiquous) ;
  • Kim, Jeong G. (Kyunghee University)
  • Received : 2015.09.18
  • Accepted : 2015.11.10
  • Published : 2015.11.30
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Abstract

In this paper we introduce Kernel Fisher Discriminant Analysis (KFDA) to transform our database of received signal strength (RSS) measurements into a smaller dimension space to maximize the difference between reference points (RP) as possible. By KFDA, we can efficiently utilize RSS data than other method so that we can achieve a better performance.

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References

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