2011
DOI: 10.1051/epjap/2011100447
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Time-domain near-field/near-field transform with PWS operations

Abstract: Abstract-This article deals with the development of computation method dedicated to the extraction of the transient EM-near-field at certain distance from the given 2-D data for the baseband application up to GHz. As described in the methodological analysis, it is based on the use of fft combined with the plane wave spectrum (PWS) operation. In order to verify the efficiency of the introduced method, a radiating source formed by the combination of electric dipoles excited by a short duration transient pulse cu… Show more

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Cited by 15 publications
(17 citation statements)
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“…During the computation, the sampling period was 0.2 ns. It is noteworthy that the presented time-domain data were extracted from the 2D data measured in the frequency domain as proposed in [26].…”
Section: Applications Of the Nf-nf Methods With Passive Microstrip Cirmentioning
confidence: 99%
See 3 more Smart Citations
“…During the computation, the sampling period was 0.2 ns. It is noteworthy that the presented time-domain data were extracted from the 2D data measured in the frequency domain as proposed in [26].…”
Section: Applications Of the Nf-nf Methods With Passive Microstrip Cirmentioning
confidence: 99%
“…To face this difficulty, NF-to-NF extraction and post-processing methods were proposed [4,[24][25][26]. However, the approach introduced in [4] is established from the frequency domain far-field data applied to the analytical processing the multipole identification of spherical Hankel function.…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…Moreover, modeling methods of the EM NF radiations were proposed, first, in frequency-domain [18][19][20][21][22][23] and also, for the analysis of the EM-wave in time-domain [24][25][26]. Nevertheless, the modeling and simulation methods require more reliable practical investigation from efficient experimentations.…”
Section: Introductionmentioning
confidence: 99%