An Imaging System for Electro-Magnetic Noise Source Identification
Summary :
In this paper, we propose a passive imaging system for noise-source identification using time-domain waveform sampling. The fundamental concepts are based on optics theory. A waveform of a diffracted field over an entrance pupil is obtained by a digitizing oscilloscope. The phase distributions over the entrance pupil for each frequency are calculated by using Fourier transform of the acquired waveforms. Thus, an image on the focal plane is reconstructed by using inverse Fresnel transform. The most significant advantage of the proposed method is that an image for each frequency can be obtained separately. We confirmed that the proposed method can be used for practical noise-source identification, by experimentally obtaining images for an emission from personal computers.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E86-B No.4 pp.1377-1382
- Publication Date
- 2003/04/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Electromagnetic Compatibility(EMC)
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Hiroshi HIRAYAMA, Yoshio KAMI, "An Imaging System for Electro-Magnetic Noise Source Identification" in IEICE TRANSACTIONS on Communications,
vol. E86-B, no. 4, pp. 1377-1382, April 2003, doi: .
Abstract: In this paper, we propose a passive imaging system for noise-source identification using time-domain waveform sampling. The fundamental concepts are based on optics theory. A waveform of a diffracted field over an entrance pupil is obtained by a digitizing oscilloscope. The phase distributions over the entrance pupil for each frequency are calculated by using Fourier transform of the acquired waveforms. Thus, an image on the focal plane is reconstructed by using inverse Fresnel transform. The most significant advantage of the proposed method is that an image for each frequency can be obtained separately. We confirmed that the proposed method can be used for practical noise-source identification, by experimentally obtaining images for an emission from personal computers.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e86-b_4_1377/_p
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@ARTICLE{e86-b_4_1377,
author={Hiroshi HIRAYAMA, Yoshio KAMI, },
journal={IEICE TRANSACTIONS on Communications},
title={An Imaging System for Electro-Magnetic Noise Source Identification},
year={2003},
volume={E86-B},
number={4},
pages={1377-1382},
abstract={In this paper, we propose a passive imaging system for noise-source identification using time-domain waveform sampling. The fundamental concepts are based on optics theory. A waveform of a diffracted field over an entrance pupil is obtained by a digitizing oscilloscope. The phase distributions over the entrance pupil for each frequency are calculated by using Fourier transform of the acquired waveforms. Thus, an image on the focal plane is reconstructed by using inverse Fresnel transform. The most significant advantage of the proposed method is that an image for each frequency can be obtained separately. We confirmed that the proposed method can be used for practical noise-source identification, by experimentally obtaining images for an emission from personal computers.},
keywords={},
doi={},
ISSN={},
month={April},}
Copy
TY - JOUR
TI - An Imaging System for Electro-Magnetic Noise Source Identification
T2 - IEICE TRANSACTIONS on Communications
SP - 1377
EP - 1382
AU - Hiroshi HIRAYAMA
AU - Yoshio KAMI
PY - 2003
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E86-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2003
AB - In this paper, we propose a passive imaging system for noise-source identification using time-domain waveform sampling. The fundamental concepts are based on optics theory. A waveform of a diffracted field over an entrance pupil is obtained by a digitizing oscilloscope. The phase distributions over the entrance pupil for each frequency are calculated by using Fourier transform of the acquired waveforms. Thus, an image on the focal plane is reconstructed by using inverse Fresnel transform. The most significant advantage of the proposed method is that an image for each frequency can be obtained separately. We confirmed that the proposed method can be used for practical noise-source identification, by experimentally obtaining images for an emission from personal computers.
ER -
English
