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Indoor Environment Blind Zone Recognition using Fractional Fourier Transform

  • School of Electronics and Information Engineering, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As the blind zone phenomenon becoming more and more common in the next generation communication system, the blind zone recognition technique has gain much attention. One big challenge in blind zone recognition is the fluctuation of received signal strength (RSS) especially in indoor environment where multipath effect is severe. Previous methods using median filter are under the improper hypothesis which results in unsatisfying results. Moreover, traditional blind zone recognition methods mainly focus on outdoor environment and are with the characteristics of low efficiency, inflexibility, and high cost. In this paper, we propose a new algorithm based on fractional Fourier transform to address the RSS fluctuation and solve the problem of blind zone recognition in indoor environment. The comparison to our method and median filter method shows that our method provides much more accurate results.

Original languageEnglish
Title of host publication2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages975-980
Number of pages6
ISBN (Print)9781538620700
DOIs
StatePublished - 28 Aug 2018
Externally publishedYes
Event14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018 - Limassol, Cyprus
Duration: 25 Jun 201829 Jun 2018

Publication series

Name2018 14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018

Conference

Conference14th International Wireless Communications and Mobile Computing Conference, IWCMC 2018
Country/TerritoryCyprus
CityLimassol
Period25/06/1829/06/18

Keywords

  • Blind Zone Recognition
  • Fractional Fourier Transform
  • RSS Fluctuation

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