Young’s Double Slit Method-Based Higher Order Mode Surface Plasmon Microwave Antenna Sensor: Modeling, Measurements, and Application
Bibliographic record
Abstract
This paper proposes Young’s double slit method based high gain broadband higher order mode spoof surface plasmon leaky wave antenna sensor (SSPLWA) for dual beam and sensing applications. Following and mimicking the double slit principle in microwave frequencies, the proposed surface plasmon leaky wave antenna sensor operating on higher order modes has been successfully measured to obtain a wideband of more than 15GHz (88.5%) and generate two simultaneous radiating beams towards the endfire direction with a peak gain of 16.6 dBi. The proposed antenna sensor operates in a broad frequency range from 10GHz-25GHz and maintains a minimum gain of > 10 dBi in the whole operating band. The SSPLWA has been tested by designing two prototypes without and with additional horizontal conducting strips so as to improve the overall gain, reflection and efficiency. The prototype with horizontal strips has been further tested for sensing application i.e. aqueous glucose solutions and it is found that the proposed dual beam sensor is providing high sensitivity and very stable measurement results in terms of resonance frequency shifts or magnitude variations. The proposed antenna sensor has achieved a high peak efficiency of 95 percent and can be very useful for dual beam applications and wireless sensing measurements.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".