Prediction of urban propagation loss using regression trees

Author

Gérome, Denis

Author_Institution

Dept. of Electromagnetic Propagation, CNET, Belfort, France

Volume

2

fYear

1997

fDate

4-7 May 1997

Firstpage

1099

Abstract

Radio path loss prediction is crucial. For instance it permits to determine best station coverage or reduction of interference. This paper presents a recent statistical method called CART (classification and regression trees) applied to the prediction of the propagation path loss. This non-parametric regression method is based on binary decision trees and considers non-linear relationships between parameters. The adaptation of this technique has been tested on measured data in urban area. This method has also been compared with linear models

Keywords

cellular radio; decision theory; interference suppression; land mobile radio; nonparametric statistics; radiofrequency interference; radiowave propagation; statistical analysis; trees (mathematics); CART; binary decision trees; cellular radio; classification and regression trees; interference reduction; land mobile radio; nonlinear relationships; nonparametric regression method; radio path loss prediction; regression trees; statistical method; urban propagation loss; Classification tree analysis; Decision trees; Interference; Linear regression; Predictive models; Propagation losses; Regression tree analysis; Statistical analysis; Testing; Urban areas;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 1997, IEEE 47th

Conference_Location

Phoenix, AZ

ISSN

1090-3038

Print_ISBN

0-7803-3659-3

Type

conf

DOI

10.1109/VETEC.1997.600500

Filename

600500