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New compact ship-shape antenna for the fifth generation bands

100%

Alsaif H.

tom R. 95, nr 12

39--41

This research presents a new ship-shape planar monopole antenna. The design has an extreme operating frequency covering the full lower fifth generation bands varying from 2.95 GHz to more than 19.85 GHz. This bandwidth furthemore includes other bands such as the IEEE 802.11 a/b/g/n/ac. The antenna has been designed and simulated via an industrial standard simulation software called CST microwave studio. The proposed design has a reduced structure with total size of 20x24x1.6 mm. The patch is printed on a substrate of Rogers Duriod RT 5880LZ which has relative permittivity of 1.96 and loss tangent of 0.00009. The reflection coefficient (S11) and normalized radiation pattern have been simulated. The design has a bandwidth of 17 GHz over which the radiation patrern is omnidirectional pattern. The ship-shape patch is suitable for the fifth generation systems and many other wireless applications.

W artykule zaprezentowano projekt anteny przeznaczonej do pasm częstotliwości piątej generacji, to jest od 2.95 GHz do 19.85 GHz. Wymiary anteny są 20x24x1.6 mm. Właściwości anteny symulowano wykorzystując oprogramowanie CST microwave studio. Antenę naniesiono na podłoże Duriod RT 5880LZ.

Development of Data Processing Tools for the Analysis of Radargrams in Utility Detection Using Ground Penetrating Radar

72%

Sagnard F.

Journal of Telecommunications and Information Technology

2017

tom nr 3

55--68

The extraction of quantitative information from Ground Penetrating Radar (GPR) data sets (radargrams) to detect and map underground utility pipelines is a challenging task. This study proposes several algorithms included in the main stages of a data processing chain associated with radargrams. It comprises preprocessing, hyperbola enhancing, hyperbola detection and localization, and parameter extraction. Additional parameters related to the GPR system such as the frequency band and the polarization bring data sets additional information that need to be exploited. Presently, the algorithms have been applied step by step on synthetic and experimental data. The results help to guide future developments in signal processing for quantitative parameter estimation.