T-slot PIFA with excitation of the ground plane resonant modes and considerations of the interaction between antenna, mobile handset and user's head

Garzon, J. L. T.; Salles, Álvaro Augusto Almeida de; Pedra, A. C. O.; Severo, S. L. S.

doi:10.1109/imoc.2013.6646476

Cited by 6 publications

(7 citation statements)

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“…The antenna structure alone is shown in Figure . We consider a dual‐band PIFA handset antenna to operate in the following bands: GSM900 (880–960 MHz), GSM1900 (1850–1990 MHz), UMTS2100, and WCDMA2100 (1920–2170 MHz). The T‐slot in the patch is the main element of the antenna contributing to the dual‐band resonances.…”

Section: Em Models Of the Antenna At Three Levels Of Complexitymentioning

confidence: 99%

“…To validate our EM models at the three levels of complexity described in the previous section, a comparison with the results obtained in is presented here. At the isolated antenna level, the initial design parameters values chosen are those reported in (see Fig. ): W 1 = W 2 = 2 mm, W 3 = 11 mm, W 4 = 4 mm, L 1 = 12 mm, L 2 = 24 mm, L p = 20 mm, Y f = 11 mm, Z f = 12 mm, Y g = 16 mm, and Z g = 1 mm.…”

Section: Validation Of Em Modelsmentioning

confidence: 99%

“…). It is seen from Figures that our EM simulated responses follow those reported in . Observed differences are due to the full‐wave solvers used and the corresponding configuration settings.…”

Section: Validation Of Em Modelsmentioning

confidence: 99%

“…Observed differences are due to the full‐wave solvers used and the corresponding configuration settings. This work uses HFSS (Ansoft HFSS, 3‐D Electromagnetic Simulation Software, Ansoft corp., Pittsburgh, PA; based on FEM) while SEMCAD X (SEMCAD X, Electromagnetic and Thermal Simulation Platform, Schmid & Partner Engineering AG, Zürich, Switzerland) was used in (based on FDTD); the corresponding EM models use different meshing schemes and resolutions as well as different simulation bounding boxes. In spite of those factors, responses in Figures are sufficiently consistent and observed differences are in the same range with respect to those found in versus laboratory measurements.…”

Section: Validation Of Em Modelsmentioning

confidence: 99%

“…We propose both coarse and fine models to be based on finite‐element method (FEM), simplifying and generalizing the methodology. Our initial EM models are validated by a comparison with results reported previously in the literature . The EM simulations at several design stages of the antenna are presented and analyzed.…”

Section: Introductionmentioning

confidence: 99%

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Space mapping optimization of handset antennas considering EM effects of mobile phone components and human body

Cervantes-González

Rayas‐Sánchez

López

et al. 2015

Int J RF and Microwave Comp Aid Eng

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To meet antenna design specifications under realistic conditions, electromagnetic coupling effects between the antenna and its environment must be considered. In this work, an efficient antenna design optimization methodology that considers the influence of the human head and main mobile handset components on the antenna performance is presented. The computational optimization time is dramatically reduced by exploiting a Broyden-based input space mapping (SM) algorithm. Both coarse and fine models required for the SM algorithm are based on the finite-element method and are implemented in the same simulator; simplifying the modeling process. However, our coarse model does not consider any object of the actual operational environment. In spite of that and other simplifications applied to the coarse model, the proposed optimization scheme is able to find a solution that meets the specifications in a realistic environment by performing an extremely small number of expensive fine model simulations. Our practical illustration opens up the feasibility of using this CAD methodology to optimize other RF devices that operate in close proximity to objects that affect its desired response, as it is the case for many wearable devices.

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Section: Em Models Of the Antenna At Three Levels Of Complexitymentioning

confidence: 99%

Section: Validation Of Em Modelsmentioning

confidence: 99%

Section: Validation Of Em Modelsmentioning

confidence: 99%

Section: Validation Of Em Modelsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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