NDLI: Improvements to RADAR Location Classification

Content Provider	IEEE Xplore Digital Library
Author	Zhili Wu Chun-Hung Li Ng, J.K.
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci., Hong Kong Baptist Univ., Kowloon (Zhili Wu; Chun-Hung Li; Ng, J.K.)
Abstract	Location estimation has been a backbone for location-aware services as wireless networks and mobile devices are more pervasively available. By operating on the signal strength space, nearest neighbor methods like RADAR have proved to be simple yet effective for location estimation. It has been common to take locations as classes, and then to infer location classes based on signal strength measurements. Under such a location classification setting, this paper investigates in detail the k-nearest neighbor approach in RADAR, and demonstrates that considering more neighboring signal strength measurements usually cannot help. Instead the orientations in which the signal strength is taken should be more carefully treated. This paper also develops a refinement step for RADAR, by building nearest neighbor classifiers to further clarify several top location estimates by RADAR. At a very economic cost, our refinement step can significantly boost the accuracy.
Starting Page	1
Ending Page	4
File Size	275889
Page Count	4
File Format	PDF
ISBN	9781424421077
DOI	10.1109/WiCom.2008.1196
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer science Phase measurement Radar measurements Spaceborne radar Wireless networks Voting Spine Fingerprint recognition Signal processing Nearest neighbor searches
Content Type	Text
Resource Type	Article

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