Building Optimal Statistical Models with the Parabolic Equation Method
In this paper, we present a new application of effectromagnetic propagation modeling methods like Parabolic Equation (PE) algorithms: these tools can be used to obtain optimal statistical propagation models I. E., best-fitted statistical model for a given propagation environment. Statistical propagation models are widely used because of their convenience to make predictions that are valid for different types of propagation environments and operation conditions. However their accuracy is often questionable because they are obtained either empirically with a limited amount of experimental data collected in few propagation environments or deduced using rough and general theory. As a result the model doesnt square satisfactorily with real operation. Our goal is to improve the preceding process by designing a method that would give an optimized statistical model (OSM) for a given environment. The process that leads to the OSM for a particular application involves several steps that are described in detail in the paper. Sample results are also given and comparisons between OSM and standard statistical models are discussed.
M. Le Palud
CREC St-Cyr Telecommunications Department (LESTP), Guer, France
国际会议
Progress in Electromagnetics Research Symposium 2007(2007年电磁学研究新进展学术研讨会)(PIERS 2007)
北京
英文
725-729
2007-03-26（万方平台首次上网日期，不代表论文的发表时间）