@inproceedings{scholars2755,
           pages = {200--205},
         journal = {ICIAS 2012 - 2012 4th International Conference on Intelligent and Advanced Systems: A Conference of World Engineering, Science and Technology Congress (ESTCON) - Conference Proceedings},
            year = {2012},
         address = {Kuala Lumpur},
           title = {Numerical modeling of radio wave propagation in horizontally inhomogeneous environment using Split-Step Wavelet Method},
             doi = {10.1109/ICIAS.2012.6306187},
          volume = {1},
            note = {cited By 9; Conference of 2012 4th International Conference on Intelligent and Advanced Systems, ICIAS 2012 ; Conference Date: 12 June 2012 Through 14 June 2012; Conference Code:93534},
          author = {Iqbal, A. and Jeoti, V.},
            isbn = {9781457719677},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867938464&doi=10.1109\%2fICIAS.2012.6306187&partnerID=40&md5=43b959aa405cd433920ccedadea582a3},
        keywords = {Conventional methods; Environmental conditions; Heterogeneous environments; Parabolic Equations; Split step; Split-step Fourier; Split-Step Fourier Method; Split-step Fourier transform method; Tropospheric ducts; Wavelet methods, Partial differential equations; Radio transmission, Radio waves},
        abstract = {In this paper, Split-Step Wavelet Method (SSWM) is proposed to model radio wave propagation in horizontally inhomogeneous environment. The performance of SSWM is investigated for laterally heterogeneous environment condition. Further, Split-Step Fourier transform Method (SSFM) is implemented on the same platform to model radio wave propagation under similar environmental conditions. Finally, results are compared with those from Split-step Fourier Method (SSFM). Results show a good agreement with SSFM. From the obtained results, it can be concluded that the proposed method has an ability to forecast the behavior of radio wave propagation in horizontally inhomogeneous environment as accurately as SSFM and it can be a good alternative to other conventional methods. {\^A}{\copyright} 2012 IEEE.}
}