Antenna
The rapid evolution of wireless technology has led to the proliferation of small, low-power IoT devices, often constrained by traditional battery limitations, resulting in size, weight, and maintenance challenges. In response, ambient radio frequency (RF) energy harvesting has emerged as a promising solution to power IoT devices using RF energy from the environment. However, optimizing the placement of energy harvesters is crucial for maximizing energy reception. This paper employs machine learning (ML) techniques to predict areas with high power intensity for RF energy harvesting.
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This data provides realized gain values for a handset operating at 28 GHz, with 3 4x1 linear antenna arrays placed around the handset along the right edge, bottom edge and back face of the handset. Beam steering was carried out at each of these antenna arrays and results for the handset with and without the hand phantom are included to show the effect that the introduction of the hand phantom has on the realized gain of the handset.
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Image : Image was made by me for other International Contest (held by some Medical Institute,USA in the year 2021), 'An intuitive of electromagnetic radiation flowing over epithelial tissue'.
This is an open-access page. All content can be freely downloaded after sign-up. This webpage contains datasets and models, which are in support of my Research, Discovery and Claim.
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This work introduces an E-plane hollow waveguide antenna array feeding network to feed 4 units of 2x2 sub-arrays as aperture elements. The feeding network and the sub-arrays are built as one object and fabricated using 3D-printing technology. The material used in 3D-printing is polymer and the cavity of the antenna array with the feeding network were metalized using sufficient layer of conductive silver epoxy. The introduced design exhibits an 18% bandwidth at center frequency of 14 GHz with a gain of 16 dBi.
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These files are the dataset of the antenna simulation and measurement.
All the simulation data were obtained using FEKO, and those were imported and visualized using MATLAB.
The scattering parameters of the antenna were measured using Keysight E8362B vector network analyzer, while the gain patterns were measured in the anechoic chamber.
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The dataset is a collection of the simulated and measured data acquired in the process of design, analysis and measurement of the millimeter wave multibeam waveguide lens antenna. A data matrix of the colected data is presented in .mat format with Matlab compatibility.
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