The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Fractal antennas: a novel antenna miniaturization technique, and applications
Abstract
Fractal geometry involves a recursive generating methodology that results in contours with infinitely intricate fine structures. This geometry, which has been used to model complex objects found in nature such as clouds and coastlines, has space-filling properties that can be utilized to miniaturize antennas. These contours are able to add more electrical length in less volume. In this article, we look at miniaturizing wire and patch antennas using fractals. Fractals are profoundly intricate shapes that are easy to define. It is seen that even though the mathematical foundations call for an infinitely complex structure, the complexity that is not discernible for the particular application can be truncated. For antennas, this means that we can reap the rewards of miniaturizing an antenna using fractals without paying the price of having to manufacture an infinitely complex radiator. In fact, it is shown that the required number of generating iterations, each of which adds a layer of intricacy, is only a few. A primer on the mathematical bases of fractal geometry is also given, focusing especially on the mathematical properties that apply to the analysis of antennas. Also presented is an application of these miniaturized antennas to phased arrays. It is shown how these fractal antennas can be used in tightly packed linear arrays, resulting in phased arrays that can scan to wider angles while avoiding grating lobes.
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Cites
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Cited by
Fractal design concepts for stretchable electronics
Fan, J. A., Yeo, W.-H., Su, Y., Hattori, Y., Lee, W., Jung, S.-Y., Zhang, Y., Liu, Z., Cheng, H., Falgout, L., et al. (2014) · Nature Communications · doi:10.1038/ncomms4266 · Cited by 1,088
Metadata
- Authors
- Gianvittorio, J. P., & Rahmat-Samii, Y.
- Venue
- IEEE Antennas and Propagation Magazine
- Published
- 2002
- Volume
- 44
- Issue
- 1
- Pages
- 20-36
- ISSN
- 1045-9243 (ISSN-L)
- OpenAlex
- W2042538541
- Cited by
- 746
- References
- 10
- FWCI
- 53.65
- Type
- journal article
- Language
- en
- Open access
- closed
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