This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
Location Estimation via Support Vector Regression
March 2007 (vol. 6 no. 3)
pp. 311-321
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.
Index Terms:
Location estimation, support vector regression, statistical estimation, Global System for Mobile communication.
Citation:
Zhi-li Wu, Chun-hung Li, Joseph Kee-Yin Ng, Karl R.P.H. Leung, "Location Estimation via Support Vector Regression," IEEE Transactions on Mobile Computing, vol. 6, no. 3, pp. 311-321, March 2007, doi:10.1109/TMC.2007.42
Usage of this product signifies your acceptance of the Terms of Use.