Bibliographic record
Abstract
Hidden antenna solutions for car roofs are of current interest to car manufacturers, to avoid having larger shark-fin based antenna systems to support growing number of wireless services. However, there are only a few studies in the literature on the integration of hidden antennas, particularly in relation to realistic roofs and propagation channels. This paper investigates the performance impact of hiding car roof-top antennas in roof cavities for an outdoor channel defined by an angular power spectrum. Different 700 MHz antenna concepts and roof cavity locations are considered for an idealized flat roof as well as a real curved roof. The results reveal that hiding antennas in cavities result in a minor mean effective gain (MEG) penalty of up to 1 dB, for a flat rectangular car roof. However, a realistic roof curvature can largely offset the MEG loss. Moreover, different monopole-based antenna concepts can provide MEG variations of up to nearly 3 dB, indicating that significant performance gain can be achieved through an optimized design.
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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".