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- Title
Comparison between statistical and principal component analysis in reduction of near-field FDTD data.
- Authors
Ramos, Glaucio L.; Rodrigues, Gustavo F.; Camilo, Franz M.; Rego, Cássio G.
- Abstract
We present a comparison of statistical and principal component analyses (PCA) for reducing the amount of near-field data required as an input to a time-domain spherical-multipole near-to-far-field transformation. Such transformations are necessary for finite-difference time-domain (FDTD) simulations that typically only model the near-field. The authors demonstrate their approach for the case of far-fields scattered by a dielectric sphere. For a threshold value of 106, the PCA technique reduced the data required by 32%, using 12 components. A similar compression was achieved with statistical analysis, when the threshold is set at 10-7s. Their work shows that the proposed statistical compression is preferable because it has simpler implementation and low-cost processing, when implemented together with the NFF transformation code.
- Subjects
PRINCIPAL components analysis; STATISTICS; NEAR-fields
- Publication
IET Microwaves, Antennas & Propagation (Wiley-Blackwell), 2019, Vol 13, Issue 13, p2315
- ISSN
1751-8725
- Publication type
Article
- DOI
10.1049/iet-map.2018.5611