Fast and efficient near-field to near-field and near-field to far-field transformation based on the spherical wave expansion

This paper presents efficient methods to transform, interpolate and filter recorded near- and far-fields on spherical surfaces, based on a spectral decomposition of these fields in spherical harmonics. Combining a Fast Fourier Transform (FFT), Discrete Cosine Transform (DCT) and Discrete Sine Transf...

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Published in2015 IEEE International Symposium on Electromagnetic Compatibility (EMC) pp. 529 - 534
Main Authors Boesman, B., Pissoort, D., Gielen, G., Vandenbosch, G. A. E.
Format Conference Proceeding Journal Article
LanguageEnglish
Published IEEE 01.08.2015
Subjects
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ISSN2158-110X
2158-1118
DOI10.1109/ISEMC.2015.7256218

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Abstract This paper presents efficient methods to transform, interpolate and filter recorded near- and far-fields on spherical surfaces, based on a spectral decomposition of these fields in spherical harmonics. Combining a Fast Fourier Transform (FFT), Discrete Cosine Transform (DCT) and Discrete Sine Transform (DST) reduces the computation time of existing algorithms to a matter of seconds, even for densely sampled fields. Due to these fast run times, the proposed methods are very well suited for implementation in existing full-wave solvers and allow to only store the spectral decomposition of the fields. The latter heavily decreases necessary disk space, which is now indepedent from the chosen number of interpolation samples. Efficient and fast field visualisation tools have wide-spread applications in amongst others Electromagnetic Compatibility (EMC) diagnosis, education, and noise removal from gridded field data.
AbstractList This paper presents efficient methods to transform, interpolate and filter recorded near- and far-fields on spherical surfaces, based on a spectral decomposition of these fields in spherical harmonics. Combining a Fast Fourier Transform (FFT), Discrete Cosine Transform (DCT) and Discrete Sine Transform (DST) reduces the computation time of existing algorithms to a matter of seconds, even for densely sampled fields. Due to these fast run times, the proposed methods are very well suited for implementation in existing full-wave solvers and allow to only store the spectral decomposition of the fields. The latter heavily decreases necessary disk space, which is now indepedent from the chosen number of interpolation samples. Efficient and fast field visualisation tools have wide-spread applications in amongst others Electromagnetic Compatibility (EMC) diagnosis, education, and noise removal from gridded field data.
Author Boesman, B.
Pissoort, D.
Vandenbosch, G. A. E.
Gielen, G.
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Snippet This paper presents efficient methods to transform, interpolate and filter recorded near- and far-fields on spherical surfaces, based on a spectral...
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StartPage 529
SubjectTerms Algorithms
Decomposition
Discrete cosine transforms
Disks
Electromagnetic compatibility
Electromagnetics
Geometry
Interpolation
Monitoring
Run time (computers)
Spectra
Stores
Transformations
Transforms
Title Fast and efficient near-field to near-field and near-field to far-field transformation based on the spherical wave expansion
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