Slots Loaded UWB Dual Half-Disc Printed Monopole Patch Antenna with Parasitic H-shaped DGS for Biomedical and RF Power Harvesting Applications
Bibliographic record
Abstract
To improve conventional circular patch (C-patch) antenna performances, slots loaded compact ultra-wide-band (UWB) circular printed monopole patch antenna to operate at 3.1–10.6 GHz band (and beyond) is designed for biomedical and RF power harvesting (RFPH) applications. The studied antenna with a diversity of loads having various shapes, an impressive number of parameters, their positions to achieve UWB feature, and the feeding method proposed acting like a coplanar waveguide feed (CPW-fed) in a double-sided version constitute the novelty of the paper. The proposed antenna consists of a dual half disc (DHD) loaded with dual I-shaped slots (DISS) opened on the radiating element on the front side. A pair of defected ground structures (PDGS) and parasitic H-shaped DGS (PHSDGS) are designed on the backside. The novel directional multi-standard C-patch can suitably operate at 3.6 GHz WiMAX, 3.6/5/5.2 GHz ISM band, 5.5/5.8 IEEE 802.11 standards, 5G sub-6 GHz, 5 GHz WLAN, 3.1–10.6 GHz UWB, and 8–12 GHz X-band. The prototype of the proposed optimised antenna has been fabricated and tested. Measured antenna performances, such as fractional impedance bandwidth (FIBW) of 141.4% (2.82-11 GHz) and a peak gain of 2.3 dBi for the resonant frequency (Fr) of 5.8 GHz, are achieved. A good agreement has been established between simulation and measurement results.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".