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Cited by 326

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Advanced Microwave Imaging

Ahmed, Sherif Sayed, Schiessl, Andreas, Gumbmann, Frank, Tiebout, Marc, Methfessel, Sebastian, Schmidt, Lorenz-Peter·2012·IEEE Microwave Magazine

Abstract

Due to the enormous advances made in semiconductor technology over the last few years, high integration densities with moderate costs are achievable even in the millimeter-wave (mm-wave) range and beyond, which encourage the development of imaging systems with a high number of channels. The mm-wave range lies between 30 and 300 GHz, with corresponding wavelengths between 10 and 1 mm. While imaging objects with signals of a few millimeters in wavelength, many optically opaque objects appear transparent, making mm-wave imaging attractive for a wide variety of commercial and scientific applications like nondestructive testing (NDT), material characterization, security scanning, and medical screening. The spatial resolution in lateral and range directions as well as the image dynamic range offered by an imaging system are considered the main measures of performance. With the availability of more channels combined with the powerful digital signal processing (DSP) capabilities of modern computers, the performance of mm-wave imaging systems is advancing rapidly.

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Metadata

Authors
Ahmed, S. S., Schiessl, A., Gumbmann, F., Tiebout, M., Methfessel, S., & Schmidt, L.-P.
Venue
IEEE Microwave Magazine
Published
2012-09
Volume
13
Issue
6
Pages
26-43
ISSN
  • 1527-3342 (ISSN-L)
  • 1557-9581
OpenAlex
W2074873696
Cited by
326
References
9
FWCI
6.28
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Advanced Microwave Imaging. https://app.cochat.ai/papers/10.1109/mmm.2012.2205772
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Ahmed, S. S., Schiessl, A., Gumbmann, F., Tiebout, M., Methfessel, S., & Schmidt, L.-P. (2012). Advanced Microwave Imaging. IEEE Microwave Magazine. https://doi.org/10.1109/mmm.2012.2205772

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.