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
Recommended Citation
Wu, Z.,Li, C.,Ng, J.,& Leung, P. (2007). Location estimation via support vector regression. IEEE Transactions on Mobile Computing, 6 (3), 311-321. http://dx.doi.org/10.1109/TMC.2007.42