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Numerical modeling of an enhanced very early time electromagnetic (VETEM) prototype system

IEEE Antennas and Propagation Magazine

By:
, , , , ,
DOI: 10.1109/74.842122

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Abstract

In this paper, two numerical models are presented to simulate an enhanced very early time electromagnetic (VETEM) prototype system, which is used for buried-object detection and environmental problems. Usually, the VETEM system contains a transmitting loop antenna and a receiving loop antenna, which run on a lossy ground to detect buried objects. In the first numerical model, the loop antennas are accurately analyzed using the Method of Moments (MoM) for wire antennas above or buried in lossy ground. Then, Conjugate Gradient (CG) methods, with the use of the fast Fourier transform (FFT) or MoM, are applied to investigate the scattering from buried objects. Reflected and scattered magnetic fields are evaluated at the receiving loop to calculate the output electric current. However, the working frequency for the VETEM system is usually low and, hence, two magnetic dipoles are used to replace the transmitter and receiver in the second numerical model. Comparing these two models, the second one is simple, but only valid for low frequency or small loops, while the first modeling is more general. In this paper, all computations are performed in the frequency domain, and the FFT is used to obtain the time-domain responses. Numerical examples show that simulation results from these two models fit very well when the frequency ranges from 10 kHz to 10 MHz, and both results are close to the measured data.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Numerical modeling of an enhanced very early time electromagnetic (VETEM) prototype system
Series title:
IEEE Antennas and Propagation Magazine
DOI:
10.1109/74.842122
Volume
42
Issue:
2
Year Published:
2000
Language:
English
Publisher:
IEEE
Publisher location:
Piscataway, NJ, United States
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
First page:
17
Last page:
27
Number of Pages:
11