A New SVM-Based Modeling Method of Cabin Path Loss Prediction. (19th May 2013)

• Record Type: Journal Article
• Authors: Zhao, Xiaonan; Hou, Chunping; Wang, Qing
• Other Names: Zhang Yan Academic Editor.
• Is Part Of: International journal of antennas and propagation. Volume 2013(2013)
• Publication Date: 2013-05-19
• Subjects: Electronic apparatus and appliances -- Periodicals; Antennas (Electronics) -- Periodicals; Radio wave propagation -- Periodicals; Antennes (Électronique); Ondes radioélectriques -- Propagation; Antennas (Electronics); Electronic apparatus and appliances; Radio wave propagation; Electronic journals; Periodicals; 621.382405
• DOI: 10.1155/2013/279070
• Languages: English
• ISSNs: 1687-5869

Abstract

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.