2009
DOI: 10.1109/tap.2009.2028603
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Solution of Electrically Large Problems With Multilevel Characteristic Basis Functions

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Cited by 56 publications
(40 citation statements)
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“…Hence, several numerical approximations must be carried out. The first one consist on sampling the PWS; guidelines to choose the number of plane-waves depending on the electrical size of the block are given in [28].…”
Section: External Illumination Methodsmentioning
confidence: 99%
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“…Hence, several numerical approximations must be carried out. The first one consist on sampling the PWS; guidelines to choose the number of plane-waves depending on the electrical size of the block are given in [28].…”
Section: External Illumination Methodsmentioning
confidence: 99%
“…The working frequency is 1030 MHz so that the geometry is discretized into 139, 762 RWGs. A two level CBFM is used to efficiently compute the matrix in (28). The first level blocks are shown in Figure 6.…”
Section: Fast Evaluation Of Phased Arraysmentioning
confidence: 99%
“…The multilevel version of the CBFM (MLCBFM) naturally extends the range of applicability of the monolevel CBFM discussed thus far; it enables one to solve larger problems in almost the same amount of time and for a similar RAM usage [20,27].…”
Section: Multilevel Cbfmmentioning
confidence: 99%
“…In conclusion, the number of unknowns may be significantly reduced, but the speed advantage becomes only apparent for electrically large problems [20]. The numerical results section includes the challenging problem of a large array of disjoint subarrays, where RWGs are employed at the lowest level, after which a set of CBFs is employed per antenna element at level 1, and where a set of CBFs is employed per subarray at level 2.…”
Section: Multilevel Cbfmmentioning
confidence: 99%
“…The characteristic basis function method (CBFM) [4,7] can accelerate direct solution of the conventional MoM. The CBFM begins by dividing the geometry of the scatterer into several equal-sized blocks.…”
Section: Introductionmentioning
confidence: 99%