An Efficient and Accurate Algorithm for Electromagnetic Wave Propagation Modeling Based on Wavelet Transforms

被引:0
|
作者
Rocha A. [1 ]
Parada D. [2 ]
Tami D. [3 ]
Guevara D. [4 ]
Rego C.G. [1 ,5 ]
机构
[1] Graduate Program in Electrical Engineering, Universidade Federal de Minas Gerais, Av. Antônio Carlos 6627, MG, Belo Horizonte
[2] Institute of Science, Technology and Innovation - ICTIN, Universidade Federal de Lavras, Rua Antônio Carlos Pinheiro de Alcântara 855, MG,São Sebastião do Paraíso
[3] Institute of Technological Sciences, Universidade Federal de Itajubá, Rua Irmã Ivone Drumond 200, MG, Itabira
[4] Department of Electricity and Electronics, Universidad Francisco de Paula Santander - AV., Gran Colombia 12e-96 Colsag, Norte de Santander, Cúcuta
[5] Department of Electronic Engineering, Universidade Federal de Minas Gerais, Av. Antônio Carlos 6627, MG, Belo Horizonte
关键词
Parabolic equation; Radio Wave Propagation; Split-Step Wavelet (SSW-PE) Approach;
D O I
10.1590/2179-10742024v23i1279458
中图分类号
学科分类号
摘要
In this article, a comprehensive analysis of the approach known as Split-Step Wavelet Parabolic Equation (SSW-PE) in modeling radio wave propagation is presented. The SSW-PE introduces innovations, such as the application of narrow-angle and wide-angle approaches, referred to as NAPE and WAPE, respectively. Furthermore, the SSW-PE demonstrates the incorporation of refractivity variations, modifications in terrain modeling for better representation, and considerations of surface boundary conditions. In addition to its innovative aspects, this study aims to provide a complete guide for effectively replicating the algorithm, thereby promoting the advancement of propagation studies using wavelets. The effectiveness and applicability of this approach are validated through comparative studies with well-established solutions, including the Discrete Mixed Fourier Transform (DMFT) version of the Split-Step Parabolic Equation (SSPE) method. Comparisons with measurements from real propagation cases are also conducted. Statistical analysis confirms the innovative potential of the SSW-PE algorithm, which also offers computational efficiency for rapid and consistent simulations. Thus, this article contributes to a comprehensive and innovative analysis, providing tangible resources for the research community interested in expanding this methodology. © 2024 SBMO/SBMag.
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