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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Naseri, P., Matos, S., Costa, J. R. & Fernandes, C. A. (2018). A fast computational algorithm to evaluate large transmit-arrays. In 12th European Conference on Antennas and Propagation, EuCAP 2018. London: Institution of Engineering and Technology.
Exportar Referência (IEEE)
P. Naseri et al.,  "A fast computational algorithm to evaluate large transmit-arrays", in 12th European Conf. on Antennas and Propagation, EuCAP 2018, London, Institution of Engineering and Technology, 2018
Exportar BibTeX
@inproceedings{naseri2018_1732228453595,
	author = "Naseri, P. and Matos, S. and Costa, J. R. and Fernandes, C. A.",
	title = "A fast computational algorithm to evaluate large transmit-arrays",
	booktitle = "12th European Conference on Antennas and Propagation, EuCAP 2018",
	year = "2018",
	editor = "",
	volume = "",
	number = "",
	series = "",
	publisher = "Institution of Engineering and Technology",
	address = "London",
	organization = ""
}
Exportar RIS
TY  - CPAPER
TI  - A fast computational algorithm to evaluate large transmit-arrays
T2  - 12th European Conference on Antennas and Propagation, EuCAP 2018
AU  - Naseri, P.
AU  - Matos, S.
AU  - Costa, J. R.
AU  - Fernandes, C. A.
PY  - 2018
CY  - London
AB  - Transmit-arrays (TAs) have become popular solutions for point-to-point communications due to their lowprofile and high-efficiency. However, simulation of these large and detailed structures demands a great amount of memory and time. Here, we propose a fast algorithm to estimate the performance of a beam-steering TA to accelerate its design optimization process. The results and the required resources of the algorithm are compared with the ones of Ansys HFSS. It is shown that this algorithm can fairly evaluate the key factors of the performance of a TA within couple of minutes with memory resource of only 1 GB. 
ER  -