2010
DOI: 10.1109/tap.2010.2044334
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Characteristic Basis Function Method for Solving Electromagnetic Scattering Problems Over Rough Terrain Profiles

Abstract: A computationally efficient algorithm, which combines the characteristic basis function method (CBFM), the physical optics (PO) approach (when applicable) with the forward backward method (FBM), is applied for the investigation of electromagnetic scattering from-and propagation over-large-scale rough terrain problems. The algorithm utilizes high-level basis functions defined on macro-domains (blocks), called the characteristic basis functions (CBFs) that are constructed by aggregating low-level basis functions… Show more

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Cited by 31 publications
(20 citation statements)
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“…The selected terrain profiles, namely Hjorring and Hadsund terrain profile are from Denmark. Figure (2) and (3) show that the fields computed by the TIM matches the field computed by CBFM-FBM. Moreover, a comparison versus measured field strength is also given in figure (2) and (3).…”
Section: B Performance Comparison Between Tim and Cbfmmentioning
confidence: 66%
See 3 more Smart Citations
“…The selected terrain profiles, namely Hjorring and Hadsund terrain profile are from Denmark. Figure (2) and (3) show that the fields computed by the TIM matches the field computed by CBFM-FBM. Moreover, a comparison versus measured field strength is also given in figure (2) and (3).…”
Section: B Performance Comparison Between Tim and Cbfmmentioning
confidence: 66%
“…In this section, a comparison between the TIM and the CBFM-FBM [2], [3] is performed in terms of accuracy and processing time. The group size of CBFM is 50m.…”
Section: B Performance Comparison Between Tim and Cbfmmentioning
confidence: 99%
See 2 more Smart Citations
“…Recently, Raj Mittra et al developed an efficient numerical method, CBFs method, to scattering of rough terrain profiles [9]. The CBFs are constructed by aggregating low-level basis functions, which consist of primary basis functions (PBFs) and secondary basis functions (SBFs).…”
Section: Introductionmentioning
confidence: 99%