Title

Location estimation via support vector regression

Document Type

Journal Article

Publication Date

2007

DOI

10.1109/TMC.2007.42

Abstract

Location estimation using the global system for mobile communication (GSM) is an emerging application that infers the location of the mobile receiver from multiple signals measurements. While geometrical and signal propagation models have been deployed to tackle this estimation problem, the terrain factors and power fluctuations have confined the accuracy of such estimation. Using support vector regression, we investigate the missing value location estimation problem by providing theoretical and empirical analysis on existing and novel kernels. A novel synthetic experiment is designed to compare the performances of different location estimation approaches. The proposed support vector regression approach shows promising performances, especially in terrains with local variations in environmental factors

Source Publication

IEEE Transactions on Mobile Computing

Volume Number

6

Issue Number

3

ISSN

1536-1233

First Page

311

Last Page

321

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