NDLI: Wi-Fi Positioning Based on Fourier Descriptors

Content Provider	IEEE Xplore Digital Library
Author	Chan, E.C.L. Baciu, G. Mak, S.C.
Copyright Year	2010
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.
Starting Page	545
Ending Page	551
File Size	940762
Page Count	7
File Format	PDF
ISBN	9781424463275
e-ISBN	9781424463282
DOI	10.1109/CMC.2010.12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-04-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Fourier transforms Shape measurement Wi-Fi Positioning Fingerprint recognition Mobile communication Organisms Calibration Pattern recognition Location Fingerprinting Fourier Descriptors Databases RAKE receivers Frequency
Content Type	Text
Resource Type	Article

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