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International Journal of Antennas and Propagation
Volume 2013 (2013), Article ID 279070, 7 pages
http://dx.doi.org/10.1155/2013/279070
Research Article

A New SVM-Based Modeling Method of Cabin Path Loss Prediction

School of Electronics and Information Engineering, Tianjin University, Tianjin 300072, China

Received 28 February 2013; Accepted 21 April 2013

Academic Editor: Yan Zhang

Copyright © 2013 Xiaonan Zhao et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A new modeling method of cabin path loss prediction based on support vector machine (SVM) is proposed in this paper. The method is trained with the path loss values of measured points inside the cabin and can be used to predict the path loss values of the unmeasured points. The experimental results demonstrate that our modeling method is more accurate than the curve fitting method. This SVM-based path loss prediction method makes the prediction much easier and more accurate, which covers performance traditional methods in the channel propagation modeling.