Wi-Fi positioning based on Fourier descriptors

Eddie C.L. Chan, George Baciu, S. C. Mak

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

7 Citations (Scopus)

Abstract

Location Fingerprinting (LF) is a common Wi-Fi positioning method, which locates a device by accessing a pre-recorded database containing the location fingerprint (i.e., the received signal strengths and coordinates). Most LF methods use the absolute received signal strength (RSS) to estimate the location. There are two drawbacks for using the absolute RSS. First, the absolute RSS in a time interval may not be representable of the IEEE 802.11 signal, as the signal may fluctuate. Second, a manual error-pone calibration is needed across different mobile platform. In this paper, we proposed to use Fourier descriptors in LF. We first transform the IEEE 802.11b Wi-Fi signal into a Fourier domain. Then, the Fourier descriptors are used to estimate the location by applying the K-Nearest Neighbor algorithm. Our experimental results show that the effectiveness of LF methods based on Fourier descriptors lead to substantially more accurate and robust localization.
Original languageEnglish
Title of host publication2010 WRI International Conference on Communications and Mobile Computing, CMC 2010
Pages545-551
Number of pages7
Volume3
DOIs
Publication statusPublished - 1 Jul 2010
Event2010 International Conference on Communications and Mobile Computing, CMC 2010 - Shenzhen, China
Duration: 12 Apr 201014 Apr 2010

Conference

Conference2010 International Conference on Communications and Mobile Computing, CMC 2010
Country/TerritoryChina
CityShenzhen
Period12/04/1014/04/10

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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