A Single Layer Frequency Selective Surface for Dual Communication and Localization Applications
Bibliographic record
Abstract
This paper presents the design, analysis and fabrication of a single layer frequency selective surface (FSS) operating in both sub-7 GHz and 77 GHz bands. The application of this FSS is two-fold. The first is to act as a radome in the lower band by shielding an antenna and the second is as a 77 GHz radar reflector operating over a range of angles of incidence from 0° to 20°. In the lower band, the goal is maintaining high transmission to allow for the pass-through of communication signals. A band-stop filter response is designed with a square loop unit cell at 77 GHz to ensure high reflection. Simulation results using Ansys HFSS are shown for both bands. Experimental results validating the transmission and illustrating the use case are carried out by placing the FSS in front of a dual-polarized antenna and measuring its characteristics at 5.4 GHz.
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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".